137 Software Engineer Machine Learning jobs in Karachi

About the Role: As a Machine Learning Engineer, you will be a part of a team which develops and deploys cutting edge AI solutions for our product line. This role will give you an opportunity to work on developing models using advanced algorithms and machine learning techniques to solve some of the most pressing problems for fleet safety and best in class Dashcams. As a part of the R&D team, you will also be responsible for deploying these models while working across cross functional teams.

What You'll Do:

Develop solutions to complex problems using AI, algorithms and machine learning techniques

Develop machine learning models using classical and deep learning techniques

Collaborate with a cross functional team to design and document scalable solutions

Write secure, maintainable code that powers the platform that connects the world’s trucks

Launch and support features that will be used by trucking industry and its partners

Lead code reviews and help to guide software architecture decisions.

What We're Looking For:

A degree in computer science, software engineering, or a related field

Exceptional problem solving and analytical skills

Strong programming skills in Python

Solid understanding of machine learning models and techniques

Experience with deep learning models

An affinity for creating software that is extensible, performant, and easy to read

Experience with time series problems (good to have)

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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.

#J-18808-Ljbffr

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

#J-18808-Ljbffr

Machine Learning Engineer vacancy in Karachi, Pakistan

Junior Machine Learning Engineer Are you passionate about machine learning and eager to kickstart your career? Join our dynamic team as a Junior Machine Learning Engineer in Karachi! In this role, you will work closely with experienced engineers to develop and implement cutting-edge machine learning algorithms and models. Your main responsibilities will include data preprocessing, model training, and evaluation. We are seeking a highly motivated individual with strong analytical skills and a degree in computer science or a related field. No prior experience is required, but knowledge of programming languages such as Python and familiarity with machine learning libraries is preferred. Don't miss this opportunity to gain valuable experience in the exciting field of machine learning!

#J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features. Job Description: Senior ML/AI Engineer

We are seeking an experienced Senior Machine Learning/AI Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions while mentoring junior team members.

Key Responsibilities:

Lead the end-to-end development of machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries Train/Fine-tune and optimize state-of-the-art computer vision models for image recognition, object detection, segmentation, and similar tasks Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets Implement appropriate ML/DL models and algorithms to address business-specific challenges Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process Manage deployment pipelines, ensuring seamless integration of ML models with production systems Drive performance optimization for models and systems, including hyperparameter tuning and retraining strategies Mentor junior engineers and provide technical leadership to elevate the overall team capability

Qualifications:

Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related fields Experience: Minimum 4 years of professional experience in machine learning/AI Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment Technical Skills: Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc Expertise in LangChain, Pinecone, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval Strong experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure) Solid knowledge of data preprocessing, augmentation, and feature engineering techniques Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes) Soft Skills: Strong problem-solving skills with an analytical mindset Excellent communication and ability to work collaboratively in a team environment Leadership qualities to guide and mentor team members effectively

Why Join Us:

Work on cutting-edge projects that push the boundaries of AI and ML Build AI solutions that solve real-world problems and help businesses become efficient and grow Collaborate with a team passionate about innovation and growth Access to the latest tools, technologies, and resources for professional development Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence

Location: Remote/On-site/Hybrid

Employment Type: Full-time

Compensation: Market competitive and commensurate with experience

We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!

Powered by JazzHR

jAv6FWCSIE Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Internet Publishing Referrals increase your chances of interviewing at The Plumtree Group Global by 2x Get notified about new Machine Learning Engineer jobs in

Pakistan . Pakistan ₱360,000.00-₱720,000.00 1 month ago Software Engineer - Supplier/Data Experience

Senior Machine Learning Engineer (Personalization)

Senior/Principal Software Engineer-Vue.JS

Principal Software Engineer- (Node+React)

Senior C++ Software Engineer (100% Remote - Pakistan)

Principal Software Engineer- React Native

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr