37 Machine Learning Computer Vision Engineer jobs in Karachi
Machine Learning & Computer Vision Engineer
Karachi, Sindh
AHOY
Posted 20 days ago
Job Viewed
Job Description
We are seeking a highly skilled Machine Learning and Computer Vision Engineer with a minimum of 2 years of hands-on experience to join our dynamic team. In this role, you will be responsible for developing and deploying machine learning models and computer vision algorithms that solve complex real-world problems. You will work closely with a team of engineers, data scientists, and product managers to bring cutting-edge technology into production environments. Responsibilities
Model Development:
Design, develop, and optimize machine learning models, particularly in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition. Algorithm Implementation:
Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, PyTorch, or similar. Data Processing:
Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance. Model Evaluation:
Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness. Deployment:
Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable. Collaboration:
Work closely with cross-functional teams to integrate models into products and systems, providing technical support and troubleshooting as needed. Research:
Stay up-to-date with the latest advancements in machine learning and computer vision, and apply relevant findings to improve existing solutions. Documentation:
Maintain clear and comprehensive documentation of models, algorithms, and processes to support ongoing maintenance and future development. Qualifications
Education:
Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Master’s degree is a plus. Experience:
At least 3 years of experience in machine learning and computer vision, with a proven track record of developing and deploying successful models. Technical Skills:
Proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of computer vision techniques and libraries like OpenCV. Experience with deep learning techniques, including convolutional neural networks (CNNs) and transfer learning. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying models in production environments. Strong programming skills with a focus on clean, efficient, and well-documented code.
Soft Skills:
Strong problem-solving abilities and analytical thinking. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to work independently as well as in a collaborative team environment. Strong organizational skills with attention to detail.
Preferred Qualifications
Experience with edge computing and deploying models on edge devices. Knowledge of reinforcement learning, GANs, or other advanced machine learning techniques. Familiarity with version control systems such as Git.
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Model Development:
Design, develop, and optimize machine learning models, particularly in the field of computer vision, for tasks such as object detection, image segmentation, and facial recognition. Algorithm Implementation:
Implement computer vision algorithms using frameworks such as OpenCV, TensorFlow, PyTorch, or similar. Data Processing:
Prepare and preprocess large datasets, including data augmentation and transformation techniques to enhance model performance. Model Evaluation:
Evaluate model performance using various metrics and techniques, including cross-validation, to ensure high accuracy and robustness. Deployment:
Deploy machine learning models in production environments, ensuring they are scalable, efficient, and reliable. Collaboration:
Work closely with cross-functional teams to integrate models into products and systems, providing technical support and troubleshooting as needed. Research:
Stay up-to-date with the latest advancements in machine learning and computer vision, and apply relevant findings to improve existing solutions. Documentation:
Maintain clear and comprehensive documentation of models, algorithms, and processes to support ongoing maintenance and future development. Qualifications
Education:
Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. A Master’s degree is a plus. Experience:
At least 3 years of experience in machine learning and computer vision, with a proven track record of developing and deploying successful models. Technical Skills:
Proficiency in Python and experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch. Strong understanding of computer vision techniques and libraries like OpenCV. Experience with deep learning techniques, including convolutional neural networks (CNNs) and transfer learning. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying models in production environments. Strong programming skills with a focus on clean, efficient, and well-documented code.
Soft Skills:
Strong problem-solving abilities and analytical thinking. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to work independently as well as in a collaborative team environment. Strong organizational skills with attention to detail.
Preferred Qualifications
Experience with edge computing and deploying models on edge devices. Knowledge of reinforcement learning, GANs, or other advanced machine learning techniques. Familiarity with version control systems such as Git.
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0
Data Science
Karachi, Sindh
Xloop Digital
Posted 20 days ago
Job Viewed
Job Description
Senior Data Science Engineer
Karachi Remote One-year contractual role We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning techniques to derive actionable insights from large datasets, optimizing business decisions and strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for developing predictive models, improving customer experience, and enhancing operational efficiency. Description Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address business needs, with a focus on customer segmentation, churn prediction, fraud detection, and risk management in the banking and telecom sectors. Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights that drive business strategies in banking and telecom operations. Integrate and process large datasets from various sources (e.g., transactional data, customer behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data processing and analysis.
Apply machine learning algorithms and artificial intelligence techniques to develop models that enhance customer experience, optimize marketing campaigns, and improve operational efficiency. Present findings and insights through clear and actionable visualizations and reports using SAS Visual Analytics and other reporting tools, making complex data accessible to stakeholders. Continuously improve model performance by fine-tuning algorithms and optimizing data workflows to handle large volumes of data efficiently. Requirements 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience working in banking and telecom sectors. Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and Machine Learning, and SAS Cloud Analytics). Experience with predictive modeling, statistical analysis, and machine learning algorithms in both sectors. Excellent communication skills, with the ability to translate technical findings into business insights for non-technical stakeholders.
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Karachi Remote One-year contractual role We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning techniques to derive actionable insights from large datasets, optimizing business decisions and strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for developing predictive models, improving customer experience, and enhancing operational efficiency. Description Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address business needs, with a focus on customer segmentation, churn prediction, fraud detection, and risk management in the banking and telecom sectors. Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights that drive business strategies in banking and telecom operations. Integrate and process large datasets from various sources (e.g., transactional data, customer behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data processing and analysis.
Apply machine learning algorithms and artificial intelligence techniques to develop models that enhance customer experience, optimize marketing campaigns, and improve operational efficiency. Present findings and insights through clear and actionable visualizations and reports using SAS Visual Analytics and other reporting tools, making complex data accessible to stakeholders. Continuously improve model performance by fine-tuning algorithms and optimizing data workflows to handle large volumes of data efficiently. Requirements 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience working in banking and telecom sectors. Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and Machine Learning, and SAS Cloud Analytics). Experience with predictive modeling, statistical analysis, and machine learning algorithms in both sectors. Excellent communication skills, with the ability to translate technical findings into business insights for non-technical stakeholders.
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1
Data Science & Engineering Lead
Karachi, Sindh
Soum
Posted 20 days ago
Job Viewed
Job Description
Overview: We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.
This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.
Responsibilities:
Define and deliver our data strategy - from core infrastructure to insights delivery Build and mentor a team of 2–5 data scientists and engineers Design and deploy predictive models, recommendation systems, and performance analytics Architect, deploy, and maintain scalable data pipelines and analytics tooling Own and scale robust data pipelines and ensure data integrity across business verticals Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions Act as the go-to person for data strategy, experimentation, and insights
Requirements:
5–6 years of relevant experience in data science, engineering or analytics, At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment Strong command of Python or R; strong SQL skills required Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau) Experience working cross functionally with business and product teams Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Hospitality, Food and Beverage Services, and Retail Referrals increase your chances of interviewing at Soum by 2x Sign in to set job alerts for “Data Science Specialist” roles.
Senior Machine Learning Engineer (Personalization)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.
Responsibilities:
Define and deliver our data strategy - from core infrastructure to insights delivery Build and mentor a team of 2–5 data scientists and engineers Design and deploy predictive models, recommendation systems, and performance analytics Architect, deploy, and maintain scalable data pipelines and analytics tooling Own and scale robust data pipelines and ensure data integrity across business verticals Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions Act as the go-to person for data strategy, experimentation, and insights
Requirements:
5–6 years of relevant experience in data science, engineering or analytics, At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment Strong command of Python or R; strong SQL skills required Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau) Experience working cross functionally with business and product teams Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Hospitality, Food and Beverage Services, and Retail Referrals increase your chances of interviewing at Soum by 2x Sign in to set job alerts for “Data Science Specialist” roles.
Senior Machine Learning Engineer (Personalization)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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2
AI & Data Science Strategy Associate Consultant
Karachi, Sindh
Ontrac Solutions
Posted 2 days ago
Job Viewed
Job Description
Overview:
We are looking for a
mid-level AI & Data Science Strategy Consultant
with strong communication and presentation skills to support our leadership team in shaping, packaging, and communicating our AI strategy. This role is ideal for a data science professional with a strategic mindset who is skilled at building executive-level decks, visualizing insights, and translating technical content into business value. Key Responsibilities:
Work closely with leadership to develop and refine AI strategy presentations, vision decks, and executive briefings.
Convert complex data science and AI concepts into clear, compelling visuals and narratives tailored for senior stakeholders.
Conduct industry and internal research to support storyline development for leadership materials.
Create and maintain a library of slide templates, use case summaries, and talking points aligned with business priorities.
Collaborate with product, engineering, and analytics teams to gather inputs and validate key insights.
Analyze data and model outputs to identify key takeaways and structure them for business audiences.
Help track and summarize progress on AI initiatives to support leadership updates and board-level communication.
Qualifications:
2–4 years of experience
in data science, analytics, or a strategy-support role involving technical storytelling or executive communications.
Strong slide design and storytelling skills
— proficiency in PowerPoint, Google Slides, or similar, with a proven ability to create clean, structured, and visually appealing presentations.
Solid foundation in data science
and machine learning concepts such as regression, clustering, NLP, LLMs, or recommendation systems.
Proficiency in Python and SQL , with experience analyzing and extracting insights from large datasets.
Excellent verbal and written communication skills , especially when translating technical content for executive or non-technical audiences.
Bachelor’s degree
in Data Science, Statistics, Engineering, Computer Science, Business, or a related field.
Experience working cross-functionally and juggling multiple workstreams in a fast-paced environment.
Preferred Skills:
Prior experience supporting C-suite communications, board presentations, or internal strategy rollouts.
Familiarity with storytelling techniques for consulting-style presentations (e.g., MECE structure, executive summaries).
Understanding of AI business use cases and ability to craft narratives around value creation, efficiency, or innovation.
Exposure to tools like Tableau, Power BI, Figma, or Notion for visual storytelling or dashboards.
Experience with enterprise AI platforms or tools such as ChatGPT, Claude, Azure OpenAI, or similar.
Background in consulting, corporate strategy, product marketing, or innovation teams is a strong plus.
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We are looking for a
mid-level AI & Data Science Strategy Consultant
with strong communication and presentation skills to support our leadership team in shaping, packaging, and communicating our AI strategy. This role is ideal for a data science professional with a strategic mindset who is skilled at building executive-level decks, visualizing insights, and translating technical content into business value. Key Responsibilities:
Work closely with leadership to develop and refine AI strategy presentations, vision decks, and executive briefings.
Convert complex data science and AI concepts into clear, compelling visuals and narratives tailored for senior stakeholders.
Conduct industry and internal research to support storyline development for leadership materials.
Create and maintain a library of slide templates, use case summaries, and talking points aligned with business priorities.
Collaborate with product, engineering, and analytics teams to gather inputs and validate key insights.
Analyze data and model outputs to identify key takeaways and structure them for business audiences.
Help track and summarize progress on AI initiatives to support leadership updates and board-level communication.
Qualifications:
2–4 years of experience
in data science, analytics, or a strategy-support role involving technical storytelling or executive communications.
Strong slide design and storytelling skills
— proficiency in PowerPoint, Google Slides, or similar, with a proven ability to create clean, structured, and visually appealing presentations.
Solid foundation in data science
and machine learning concepts such as regression, clustering, NLP, LLMs, or recommendation systems.
Proficiency in Python and SQL , with experience analyzing and extracting insights from large datasets.
Excellent verbal and written communication skills , especially when translating technical content for executive or non-technical audiences.
Bachelor’s degree
in Data Science, Statistics, Engineering, Computer Science, Business, or a related field.
Experience working cross-functionally and juggling multiple workstreams in a fast-paced environment.
Preferred Skills:
Prior experience supporting C-suite communications, board presentations, or internal strategy rollouts.
Familiarity with storytelling techniques for consulting-style presentations (e.g., MECE structure, executive summaries).
Understanding of AI business use cases and ability to craft narratives around value creation, efficiency, or innovation.
Exposure to tools like Tableau, Power BI, Figma, or Notion for visual storytelling or dashboards.
Experience with enterprise AI platforms or tools such as ChatGPT, Claude, Azure OpenAI, or similar.
Background in consulting, corporate strategy, product marketing, or innovation teams is a strong plus.
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3
Trainer (AI, Machine Learning, LLM, NLP, Data Science)
Karachi, Sindh
Awesome Technologies Inc.
Posted 8 days ago
Job Viewed
Job Description
Job Description:
Job Title:
AI Trainer Job Type:
Part time Responsibilities: Develop and deliver AI/ML training programs. Create hands-on exercises and real-world AI applications. Guide learners on AI tools, frameworks, and best practices. Stay updated with AI advancements and integrate them into training. Provide mentorship and support to trainees. Requirements: Bachelor's/Masters in AI, Data Science, or related field. 3+ years of experience in AI/ML development & training. Expertise in Python, TensorFlow, PyTorch, and AI concepts. Strong communication and presentation skills. Passion for teaching and knowledge sharing.
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Job Title:
AI Trainer Job Type:
Part time Responsibilities: Develop and deliver AI/ML training programs. Create hands-on exercises and real-world AI applications. Guide learners on AI tools, frameworks, and best practices. Stay updated with AI advancements and integrate them into training. Provide mentorship and support to trainees. Requirements: Bachelor's/Masters in AI, Data Science, or related field. 3+ years of experience in AI/ML development & training. Expertise in Python, TensorFlow, PyTorch, and AI concepts. Strong communication and presentation skills. Passion for teaching and knowledge sharing.
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4
Project Manager, CITRIC Health Data Science Center
Karachi, Sindh
Aga Khan University
Posted 1 day ago
Job Viewed
Job Description
Project Manager
Entity:
Aga Khan University
Location:
Karachi, Pakistan
Introduction:
Aga Khan University, chartered in 1983 as Pakistan's first private international university, is committed to the provision of education, research and health care of international standard relevant to Pakistan and the region. The affiliated Aga Khan University Hospital (AKUH) has well-equipped investigative services and provides state-of-the-art clinical facilities. AKUH is the first hospital in Pakistan to be awarded the prestigious Joint Commission International Accreditation (JCIA) for practicing the highest internationally-recognized healthcare standards.
Established in December 2020 at Aga Khan University’s Medical College, the CITRIC Health Data Science Center is a dedicated hub for health data science. The Center is driving the transformation of health systems through disease burden estimation, clinical data curation and analysis, AI and health analytics, and public health initiatives. It functions as a platform for interdisciplinary collaboration among medical researchers, clinicians, data scientists, and policymakers; a capacity-building center, hosting workshops and training in health data science and disease modeling; and an innovation hub developing clinical data infrastructure, AI-driven analytics, and digital health tools to address regional health challenges.
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.
This is a grant-funded contractual position.
Responsibilities:
You will be responsible to:
Supervise the day-to-day execution of research projects, coordinate timelines and deliverables, and track progress using project management tools to ensure timely and effective delivery; lead hiring and onboarding of project staff; provide regular supervision, coaching, and performance feedback; set team goals and monitor productivity to maintain a high-performing team; design and implement SOPs for both project execution and administrative workflows, ensuring consistency, efficiency, and clarity in all operational processes; conduct internal quality checks and audits, ensure complete and compliant project documentation, and enforce adherence to institutional and donor compliance requirements; compile and submit regular reports for internal tracking and external stakeholders or funders, maintaining transparency and supporting data-driven decision-making; lead strategic planning, proposal development, and event organization, while remaining responsive to evolving needs as identified by the Principal Investigator or Center leadership; contribute to strategic planning, proposal development, and event organization; oversee budgeting, financial tracking, and reporting related to project grants; ensure compliance with donor and institutional financial policies, and support efficient resource allocation and utilization; prepare financial and budget plans in coordination with the finance department; assist the supervisor in ensuring adherence to grant agreements, budget allocations, and agency requirements; support Principal Investigators in study design, tool development, and protocol refinement; contribute to data analysis, interpretation, and drafting of research outputs where possible; develop and implement a comprehensive communication strategy to promote the center’s mission, outcomes, and activities to key stakeholders including funders, partners, academic institutions, community organizations, and the general public; preparing and maintaining technical documentation and assisting in the preparation of periodic research and progress reports; act as the primary liaison with internal teams, external partners, donors, and public health stakeholders to ensure effective communication, alignment of goals, and smooth collaboration throughout the project lifecycle; create regular progress reports, success stories, and data-informed updates to communicate impact to funders and partners; manage planning and execution of events, including conferences, workshops, and meetings with donors and collaborators; any other task assigned by the Principal Investigator. Requirements:
You should have:
Master’s degree in a relevant field such as Public Health (MPH), Health Policy & Management (HPM), Epidemiology, Biostatistics, Data Science, Computer Science or Health Economics. A medical degree (MBBS) is preferred but not required. 5 to 7 years of relevant experience in healthcare. Demonstrated experience in coordinating or managing research projects, preferably in public health, health data science, or related fields. Prior experience working with grants, budgeting, compliance, or donor reporting will be considered an asset. Proven expertise in project management, including planning, execution, monitoring, and reporting across complex, multi-stakeholder initiatives. Strong team management skills with the ability to lead, motivate, and coordinate cross-functional teams in dynamic environments. Excellent organizational and time management abilities, with a track record of meeting deadlines and delivering results. Good understanding of public health, data science, or health systems, with the ability to translate technical findings into actionable insights. Proficiency in project management tools (e.g., Asana, Trello, MS Project) and general office software (MS Office Suite); familiarity with data platforms or analytics tools is an asset Strategic thinker with problem-solving skills and the ability to adapt to evolving project needs Comprehensive employment reference checks will be conducted.
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Entity:
Aga Khan University
Location:
Karachi, Pakistan
Introduction:
Aga Khan University, chartered in 1983 as Pakistan's first private international university, is committed to the provision of education, research and health care of international standard relevant to Pakistan and the region. The affiliated Aga Khan University Hospital (AKUH) has well-equipped investigative services and provides state-of-the-art clinical facilities. AKUH is the first hospital in Pakistan to be awarded the prestigious Joint Commission International Accreditation (JCIA) for practicing the highest internationally-recognized healthcare standards.
Established in December 2020 at Aga Khan University’s Medical College, the CITRIC Health Data Science Center is a dedicated hub for health data science. The Center is driving the transformation of health systems through disease burden estimation, clinical data curation and analysis, AI and health analytics, and public health initiatives. It functions as a platform for interdisciplinary collaboration among medical researchers, clinicians, data scientists, and policymakers; a capacity-building center, hosting workshops and training in health data science and disease modeling; and an innovation hub developing clinical data infrastructure, AI-driven analytics, and digital health tools to address regional health challenges.
As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.
This is a grant-funded contractual position.
Responsibilities:
You will be responsible to:
Supervise the day-to-day execution of research projects, coordinate timelines and deliverables, and track progress using project management tools to ensure timely and effective delivery; lead hiring and onboarding of project staff; provide regular supervision, coaching, and performance feedback; set team goals and monitor productivity to maintain a high-performing team; design and implement SOPs for both project execution and administrative workflows, ensuring consistency, efficiency, and clarity in all operational processes; conduct internal quality checks and audits, ensure complete and compliant project documentation, and enforce adherence to institutional and donor compliance requirements; compile and submit regular reports for internal tracking and external stakeholders or funders, maintaining transparency and supporting data-driven decision-making; lead strategic planning, proposal development, and event organization, while remaining responsive to evolving needs as identified by the Principal Investigator or Center leadership; contribute to strategic planning, proposal development, and event organization; oversee budgeting, financial tracking, and reporting related to project grants; ensure compliance with donor and institutional financial policies, and support efficient resource allocation and utilization; prepare financial and budget plans in coordination with the finance department; assist the supervisor in ensuring adherence to grant agreements, budget allocations, and agency requirements; support Principal Investigators in study design, tool development, and protocol refinement; contribute to data analysis, interpretation, and drafting of research outputs where possible; develop and implement a comprehensive communication strategy to promote the center’s mission, outcomes, and activities to key stakeholders including funders, partners, academic institutions, community organizations, and the general public; preparing and maintaining technical documentation and assisting in the preparation of periodic research and progress reports; act as the primary liaison with internal teams, external partners, donors, and public health stakeholders to ensure effective communication, alignment of goals, and smooth collaboration throughout the project lifecycle; create regular progress reports, success stories, and data-informed updates to communicate impact to funders and partners; manage planning and execution of events, including conferences, workshops, and meetings with donors and collaborators; any other task assigned by the Principal Investigator. Requirements:
You should have:
Master’s degree in a relevant field such as Public Health (MPH), Health Policy & Management (HPM), Epidemiology, Biostatistics, Data Science, Computer Science or Health Economics. A medical degree (MBBS) is preferred but not required. 5 to 7 years of relevant experience in healthcare. Demonstrated experience in coordinating or managing research projects, preferably in public health, health data science, or related fields. Prior experience working with grants, budgeting, compliance, or donor reporting will be considered an asset. Proven expertise in project management, including planning, execution, monitoring, and reporting across complex, multi-stakeholder initiatives. Strong team management skills with the ability to lead, motivate, and coordinate cross-functional teams in dynamic environments. Excellent organizational and time management abilities, with a track record of meeting deadlines and delivering results. Good understanding of public health, data science, or health systems, with the ability to translate technical findings into actionable insights. Proficiency in project management tools (e.g., Asana, Trello, MS Project) and general office software (MS Office Suite); familiarity with data platforms or analytics tools is an asset Strategic thinker with problem-solving skills and the ability to adapt to evolving project needs Comprehensive employment reference checks will be conducted.
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5
Senior Technical Manager/ Director - Data Science and ML
Karachi, Sindh
VentureDive
Posted today
Job Viewed
Job Description
Job Brief We are seeking an experienced and highly skilled
Senior Technical Manager / Director
with a strong background in software development and deep expertise in data science and machine learning. This individual will play a pivotal role in leading cross-functional teams, architecting robust software solutions, and driving innovation through AI/ML initiatives. You will collaborate closely with stakeholders across the business to build scalable systems that deliver data-driven insights and value VentureDive Overview Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. Key Responsibilities: - Technical Leadership:
Oversee the design, development, and deployment of software applications and machine learning solutions. Set the technical direction for projects, ensuring alignment with business goals and adherence to architectural best practices. Drive best practices in coding, testing, DevOps, and software quality assurance. - Data Science & ML Initiatives:
Collaborate with data scientists and engineers to build and deploy predictive models, recommendation systems, and other intelligent applications. Evaluate and implement appropriate tools, frameworks, and ML algorithms to solve business problems. - Team Management:
Lead, mentor, and manage a team of software engineers and data scientists. Conduct performance reviews, support career development, and foster a high-performance team culture. Manage resource planning, hiring, and team scaling as needed. - Project & Stakeholder Management:
Drive end-to-end project delivery, from requirements gathering through deployment and maintenance. Work with cross-functional teams to ensure timely and successful execution of product and technical roadmaps. Communicate technical concepts and progress clearly to non-technical stakeholders. Required Qualification & Experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software development with a proven track record of delivering enterprise-grade applications. Strong hands-on expertise in at least one major programming language (e.g., Python, Java, C#, or equivalent). Demonstrable experience in machine learning, data analysis, statistical modeling, and working with large-scale datasets. Proficiency with ML libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). At least 3+ years in a technical leadership or managerial role, overseeing teams and mentoring engineers. Preferred Experience:
Experience with MLOps practices and tools. Knowledge of data engineering pipelines and ETL processes. Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence). Strong interpersonal and communication skills. What We Offer:
Opportunity to lead cutting-edge projects at the intersection of software engineering and AI. Collaborative and inclusive team culture. Competitive salary and performance-based incentives. Flexible work arrangements and comprehensive benefits.
What we look for beyond required skills In order to thrive at VentureDive, you …are intellectually smart and curious …have the passion for and take pride in your work …deeply believe in VentureDive’s mission, vision, and values …have a no-frills attitude …are a collaborative team player …are ethical and honest Are you ready to put your ideas into products and solutions that will be used by millions? You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us . we're having a ball! #LI-Hybrid
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Senior Technical Manager / Director
with a strong background in software development and deep expertise in data science and machine learning. This individual will play a pivotal role in leading cross-functional teams, architecting robust software solutions, and driving innovation through AI/ML initiatives. You will collaborate closely with stakeholders across the business to build scalable systems that deliver data-driven insights and value VentureDive Overview Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. Key Responsibilities: - Technical Leadership:
Oversee the design, development, and deployment of software applications and machine learning solutions. Set the technical direction for projects, ensuring alignment with business goals and adherence to architectural best practices. Drive best practices in coding, testing, DevOps, and software quality assurance. - Data Science & ML Initiatives:
Collaborate with data scientists and engineers to build and deploy predictive models, recommendation systems, and other intelligent applications. Evaluate and implement appropriate tools, frameworks, and ML algorithms to solve business problems. - Team Management:
Lead, mentor, and manage a team of software engineers and data scientists. Conduct performance reviews, support career development, and foster a high-performance team culture. Manage resource planning, hiring, and team scaling as needed. - Project & Stakeholder Management:
Drive end-to-end project delivery, from requirements gathering through deployment and maintenance. Work with cross-functional teams to ensure timely and successful execution of product and technical roadmaps. Communicate technical concepts and progress clearly to non-technical stakeholders. Required Qualification & Experience:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software development with a proven track record of delivering enterprise-grade applications. Strong hands-on expertise in at least one major programming language (e.g., Python, Java, C#, or equivalent). Demonstrable experience in machine learning, data analysis, statistical modeling, and working with large-scale datasets. Proficiency with ML libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). At least 3+ years in a technical leadership or managerial role, overseeing teams and mentoring engineers. Preferred Experience:
Experience with MLOps practices and tools. Knowledge of data engineering pipelines and ETL processes. Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence). Strong interpersonal and communication skills. What We Offer:
Opportunity to lead cutting-edge projects at the intersection of software engineering and AI. Collaborative and inclusive team culture. Competitive salary and performance-based incentives. Flexible work arrangements and comprehensive benefits.
What we look for beyond required skills In order to thrive at VentureDive, you …are intellectually smart and curious …have the passion for and take pride in your work …deeply believe in VentureDive’s mission, vision, and values …have a no-frills attitude …are a collaborative team player …are ethical and honest Are you ready to put your ideas into products and solutions that will be used by millions? You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us . we're having a ball! #LI-Hybrid
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6
Computer Vision Engineer
Karachi, Sindh
Motive Technologies, Inc
Posted today
Job Viewed
Job Description
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the role:
As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
What You’ll Do:
Improve the performance of our models and algorithms already in production Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines Convert state-of-the-art research prototypes into reliably working product features Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features Solve challenging object detection, segmentation, recognition, and geometric computer vision problems. Build automated deployment, validation, and active learning pipelines.
What We’re Looking For:
Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field. Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred) Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) Strong experience in Python or C++ Hands-on experience in building embedded algorithms and applications Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes. Prior experience with Eigen library and RTOS is a strong plus Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Noticehere .
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
#LI-Remote
#J-18808-Ljbffr
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 100,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the role:
As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
What You’ll Do:
Improve the performance of our models and algorithms already in production Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines Convert state-of-the-art research prototypes into reliably working product features Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features Solve challenging object detection, segmentation, recognition, and geometric computer vision problems. Build automated deployment, validation, and active learning pipelines.
What We’re Looking For:
Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field. Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred) Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) Strong experience in Python or C++ Hands-on experience in building embedded algorithms and applications Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes. Prior experience with Eigen library and RTOS is a strong plus Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Noticehere .
UK Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
#LI-Remote
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
7
Computer Vision Engineer
Karachi, Sindh
Rocket Lab
Posted today
Job Viewed
Job Description
Who we are: Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. Motive combines IoT hardware with AI-powered applications to connect and automate physical operations. Motive is one of the fastest-growing software companies in the world, serving more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Motive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We’re proud to receive an employee net promoter score of 63 (according to Comparably) which places Motive in the top 5% of companies with 4,000 employees or more. Today, our team is made up of more than 3,000 employees, located across the world, providing support to a wide range of customers. While most of our employees are remote, many have the opportunity to work on-site at any of our 8 global office locations. Visit our
careers website
to learn more about opportunities at Motive. About the role: As a Software Engineer - Vision, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications. You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems. What You’ll Do: Improve the performance of our models and algorithms already in production Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines Convert state-of-the-art research prototypes into reliably working product features Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features Solve challenging object detection, segmentation, recognition, and geometric computer vision problems. Build automated deployment, validation, and active learning pipelines. What We’re Looking For: 1-2 years of algorithm development experience in the area of Computer Vision, Deep Learning, and Machine Learning. Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) Strong experience in Python or C++ Hands-on experience in building embedded algorithms and applications Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes. Prior experience with Eigen library and RTOS is a strong plus Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice
here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.
It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. #LI-Remote
#J-18808-Ljbffr
careers website
to learn more about opportunities at Motive. About the role: As a Software Engineer - Vision, you will be a part of a passionate team whose mission is to bring intelligence to the world’s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications. You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems. What You’ll Do: Improve the performance of our models and algorithms already in production Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines Convert state-of-the-art research prototypes into reliably working product features Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features Solve challenging object detection, segmentation, recognition, and geometric computer vision problems. Build automated deployment, validation, and active learning pipelines. What We’re Looking For: 1-2 years of algorithm development experience in the area of Computer Vision, Deep Learning, and Machine Learning. Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches. Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe) Strong experience in Python or C++ Hands-on experience in building embedded algorithms and applications Experience in the following tools and technologies is a plus. AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes. Prior experience with Eigen library and RTOS is a strong plus Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice
here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.
It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. #LI-Remote
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
8
Computer Vision Engineer
Karachi, Sindh
Flatgigs
Posted 10 days ago
Job Viewed
Job Description
4 weeks ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. We are seeking a dedicated, research-driven professional with a strong foundation in mathematics and algorithmic problem-solving. The ideal candidate will have 3+ years of full-time industry experience (non-freelance) in computer vision and MLOps, with a proven track record of delivering rapid, quality solutions in a collaborative team environment. A Master's degree is preferred over a Bachelor's, and candidates should not be concurrently pursuing academic coursework or scholarships in AI/ML.
Requirements
Computer Vision & MLOps Development:
Design, develop, and deploy robust computer vision solutions and scalable MLOps pipelines for production environments.
Research & Innovation: L ead and contribute to advanced research projects, leveraging strong mathematical and algorithmic expertise to implement state-of-the-art machine learning solutions.
Project Delivery:
Ensure quick and efficient delivery of projects and products, focusing on continuous improvement and innovative problem-solving.
Team Collaboration:
Work collaboratively with cross-functional teams on multiple projects, fostering an environment of clear communication and proactive issue resolution.
Problem Identification & Resolution:
Quickly identify potential issues or failures, communicate these transparently, and proactively drive solutions without creating dependencies on others.
Code Excellence:
Write clean, maintainable code primarily in Python; experience in C++ is a plus. Good with Nvidia Triton Server, Deepstream and other ML optimization and serving frameworks.
Required Qualifications:
Experience:
Minimum of 3 years of full-time, non-freelance industry experience in computer vision and MLOps.
Education:
Master's degree (MS) in a relevant field is preferred over a Bachelor's degree. Candidates actively pursuing AI/ML coursework or scholarships for further academic programs (MS/PhD) will not be considered.
Technical Skills:
Proficiency in Python; C++ is a plus. Strong grasp of mathematics and algorithmic concepts. Proven experience in deploying ML models in production environments
Soft Skills:
Excellent communication skills and a proactive approach to problem-solving. Ability to work well in a team and collaborate on multiple projects simultaneously. Commitment to a minimum tenure of one year with a focus on long-term growth and impact
Preferred Qualifications:
Familiarity with Large Language Models (LLMs) is a bonus Demonstrated track record of research and innovative project contributions Experience with deploying scalable MLOps pipelines and managing end-to-end machine learning workflows
Additional Considerations:
Commitment:
The role requires a minimum commitment of one year; we are seeking candidates who are not looking to switch roles frequently.
Autonomy:
The successful candidate will be self-reliant, capable of independently managing challenges, and will proactively flag any issues early ("fail quick") to keep projects on track. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Flatgigs by 2x Sign in to set job alerts for “Computer Vision Engineer” roles.
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Requirements
Computer Vision & MLOps Development:
Design, develop, and deploy robust computer vision solutions and scalable MLOps pipelines for production environments.
Research & Innovation: L ead and contribute to advanced research projects, leveraging strong mathematical and algorithmic expertise to implement state-of-the-art machine learning solutions.
Project Delivery:
Ensure quick and efficient delivery of projects and products, focusing on continuous improvement and innovative problem-solving.
Team Collaboration:
Work collaboratively with cross-functional teams on multiple projects, fostering an environment of clear communication and proactive issue resolution.
Problem Identification & Resolution:
Quickly identify potential issues or failures, communicate these transparently, and proactively drive solutions without creating dependencies on others.
Code Excellence:
Write clean, maintainable code primarily in Python; experience in C++ is a plus. Good with Nvidia Triton Server, Deepstream and other ML optimization and serving frameworks.
Required Qualifications:
Experience:
Minimum of 3 years of full-time, non-freelance industry experience in computer vision and MLOps.
Education:
Master's degree (MS) in a relevant field is preferred over a Bachelor's degree. Candidates actively pursuing AI/ML coursework or scholarships for further academic programs (MS/PhD) will not be considered.
Technical Skills:
Proficiency in Python; C++ is a plus. Strong grasp of mathematics and algorithmic concepts. Proven experience in deploying ML models in production environments
Soft Skills:
Excellent communication skills and a proactive approach to problem-solving. Ability to work well in a team and collaborate on multiple projects simultaneously. Commitment to a minimum tenure of one year with a focus on long-term growth and impact
Preferred Qualifications:
Familiarity with Large Language Models (LLMs) is a bonus Demonstrated track record of research and innovative project contributions Experience with deploying scalable MLOps pipelines and managing end-to-end machine learning workflows
Additional Considerations:
Commitment:
The role requires a minimum commitment of one year; we are seeking candidates who are not looking to switch roles frequently.
Autonomy:
The successful candidate will be self-reliant, capable of independently managing challenges, and will proactively flag any issues early ("fail quick") to keep projects on track. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Flatgigs by 2x Sign in to set job alerts for “Computer Vision Engineer” roles.
Karachi Division, Sindh, Pakistan 5 months ago Karachi Division, Sindh, Pakistan 6 days ago Karachi Division, Sindh, Pakistan 6 months ago Software Quality Assurance Engineer-Manual
Software Engineer (Workflow Automation & Web Development) – Low-Code
Karachi Division, Sindh, Pakistan 6 days ago Karachi Division, Sindh, Pakistan 1 month ago Senior Software Engineer I - AI (Contract)
Principal Software Support Engineer-II (L3)
Karachi Division, Sindh, Pakistan 8 hours ago Karachi Division, Sindh, Pakistan 6 days ago Senior Software Quality Assurance Engineer
Karachi Division, Sindh, Pakistan 1 hour ago Full Stack Software Engineer (.NET Core & Angular)
Karachi Division, Sindh, Pakistan 2 days ago Senior Software Engineer- D365 Development
Karachi Division, Sindh, Pakistan 1 month ago Karachi Division, Sindh, Pakistan 6 hours ago Software Engineer - Full Stack - VueJS/NestJS
Karachi Division, Sindh, Pakistan 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This advertiser has chosen not to accept applicants from your region.
9