298 Artificial Intelligence Machine Learning Engineer AI Ml jobs in Pakistan

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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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

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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AI/ML Engineer

This role is designed as an onsite position, with the expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work. We help organizations connect, protect, analyze, and act on their data and applications from edge to cloud, enabling them to turn insights into outcomes quickly. Our culture values innovation, diversity, and flexibility, supporting both professional growth and work-life balance. Join us to open up new opportunities and grow your career.

Job Description:

Job Family Definition:

The Cloud Developer builds solutions from the ground up to meet mission-critical application needs, seeking innovative approaches to deliver end-to-end technical solutions that solve customer problems. This role involves breaking down complex data, engineering new ideas, and implementing cloud-based solutions. Collaboration with project managers and development partners is essential to ensure effective delivery, deployment, operation, monitoring, and support of cloud engagements. The Cloud Developer also contributes to expanding HPE's Cloud Services portfolio across multiple systems, platforms, and applications.

Management Level Definition:

This role impacts the technical components of HPE products, solutions, or services regularly and sustainably. It requires advanced subject matter expertise, solving complex issues, and providing mentorship and leadership within teams.

What You Will Do:

1. Experiment, design, develop, and maintain machine learning models and pipelines with high potential for value and scale.
2. Collaborate with ML engineers, data scientists, product managers, and other engineers for successful implementation.
3. Research and test new machine learning algorithms; conduct training, evaluation, and integration of models.
4. Evaluate new technologies and tools for machine learning.
5. Maintain and update existing ML systems.
6. Develop, productionize, and operate ML models and pipelines at scale, including real-time and batch processing.
7. Work with large-scale structured and unstructured data, improving ML models continuously.
8. Lead project teams in designing and developing complex cloud products, including solution design, coding, testing, and integration.
9. Review designs and code for compliance with standards.
10. Provide feedback to improve product quality and mitigate risks.
11. Represent engineering in technical forums and mentor team members.
12. Drive innovation and integrate new technologies into projects.
13. Analyze complex data processing problems to develop solutions.

What You Will Need:

• Bachelor's or master's degree in computer science, engineering, information systems, or related field.
• Typically, 7-10 years of experience.

Knowledge and Skills:

• Strong programming skills in Python; familiarity with Golang is preferred.
• Understanding microservice architecture, containerization, and Kubernetes.
• Experience with designing and integrating software systems across platforms.
• Knowledge of testing methodologies, debugging, and scripting.
• Excellent communication skills for engaging with senior management.

Additional Skills:

• Cloud architectures, cross-domain knowledge, design thinking, DevOps, distributed computing, microservices, full-stack development, release management, security, and UX.

What We Can Offer You:

• Health & Wellbeing benefits.
• Career development programs.
• Inclusive work environment valuing diversity and flexibility.
• Stay connected through social media and company updates.

Note: This job posting is active and not expired. We are an equal opportunity employer and value diversity at our company.

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Positions: 4 Job Type: Full Time (On-Site) Location: Islamabad

We are seeking an innovative and experienced AI/ML Engineer to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models.
• Preprocess, clean, and organize large datasets for optimal model performance.
• Collaborate with data scientists and software engineers to integrate AI models into applications.
• Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.
• Optimize model performance, scalability, and resource utilization in production environments.
• Stay current with advancements in AI/ML and prompt engineering techniques.
• Develop APIs and services for model consumption.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in machine learning and AI solution development.
• Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).
• Strong understanding of statistics, data modeling, and deep learning concepts.
• Experience deploying models using Docker, Kubernetes, or Cloud ML services.

Nice to Have:

• ExExperience with natural language processing (NLP), computer vision, or reinforcement learning.
• Familiarity with MLOps practices and CI/CD pipelines for ML.
• Experience with cloud AI platforms, such as:
• AWS Bedrock, AWS SageMaker
• GCP AI Platform, Vertex AI Generative AI Studio
• Azure ML, Azure AI Studio

Compensation and Benefits:

• Market Competitive Salary
• Personal and Family Medical Insurance
• Personal Life Insurance
• Parental Medical Insurance
• Personal and Family OPD
• Weekly Meal
• EOBI
• Paid Technical Certifications

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We are seeking a talented AI/ML Engineer to join our team and contribute to innovative projects with global impact. The ideal candidate will have a strong technical background, exceptional communication skills, and proven experience working with international teams.

Key Responsibilities:

• Design, develop, and deploy AI/ML models and solutions.

• Collaborate with cross-functional teams to define, develop, and deliver AI-powered features.

• Ensure scalability, performance, and maintainability of AI/ML systems.

• Stay updated with the latest advancements in AI/ML and propose improvements.

• Work closely with stakeholders to translate business needs into technical solutions.

Must-Have Qualifications:

• 5–6 years of relevant AI/ML engineering experience (minimum 4 years for exceptional candidates).

• Proven track record of working with global companies.

• Excellent verbal and written communication skills.

• Strong educational background in Computer Science, Data Science, or a related field.

Good-to-Have Skills:

• Strong interpersonal skills; able to work effectively with people at all levels.

• Ability and willingness to mentor or train others.

• Proven ability to manage discussions and drive outcomes with teams and stakeholders.

Education:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.

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About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.

It’s a big mission and now we want you to join us to make it even bigger!

We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.

We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative. Here’s a quick overview of what you will be doing:

AI ML Engineer

As an AI ML engineer at Burq, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take full ownership, from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction. You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions. Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects.

Basic Qualifications (Required Skills/Experience)

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
• Proficiency in SQL and Python
• Experience with data integration tools like Airbyte
• Strong knowledge of data warehousing concepts and hands-on experience with Snowflake
• Experience with data transformation tools such as dbt
• Proficiency in using Databricks and Apache Spark for big data processing and machine learning
• Familiarity with Delta Lake for data lake management
• Experience with data visualization tools like Tableau
• Experience with relational databases like MySQL and PostgreSQL
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Ability to work in a fast-paced and dynamic environment

Preferred Qualifications:

• A strong individual contributor mindset, demonstrating high autonomy
• Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Experience with cloud platforms such as AWS, GCP, or Azure
• Relevant certifications in data engineering, machine learning, or cloud technologies

Responsibilities:

• Design, develop, and deploy machine learning models using Databricks and Apache Spark
• Implement data preprocessing, feature engineering, and model training pipelines
• Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning
• Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets
• Conduct exploratory data analysis to identify trends, patterns, and anomalies
• Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake
• Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models
• Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders
• Collaborate with data scientists to refine and improve machine learning models
• Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards
• Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed
• Communicate complex technical concepts and results to non-technical stakeholders effectively

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We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy innovative machine learning models and AI-driven solutions. This is an on-site role, offering an exciting opportunity for individuals passionate about artificial intelligence, data science, and building intelligent systems to solve real-world challenges.

Responsibilities:

• Design, develop, and optimize machine learning models and AI-driven solutions to address complex business challenges.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI model capabilities, integrating vector databases and retrieval models .
• Develop and fine-tune large language models (LLMs) for NLP applications, leveraging transformers and embedding-based search .
• Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
• Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
• Preprocess, clean, and analyze large-scale datasets while ensuring data privacy, security, and compliance (e.g., GDPR, HIPAA, SOC 2 ).
• Develop and deploy secure and scalable ML pipelines , leveraging MLOps best practices for continuous integration and deployment.
• Monitor, evaluate, and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques .
• Implement AI security best practices , including adversarial attack detection, model integrity verification, and bias mitigation .
• Stay updated with LLMs, generative AI, retrieval-based AI trends , and secure AI development methodologies.
• Deploy and manage AI/ML models on cloud platforms such as AWS, Azure, or GCP, ensuring compliance with secure AI governance frameworks .
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB ) and retrieval frameworks (e.g., LangChain, LlamaIndex ).
• Build and optimize secure APIs , ensuring protection against data leaks, prompt injection attacks, and unauthorized access .
• Other duties as needed.

Requirements:

• 2+ years of experience in AI/ML model development and deployment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong programming skills in Python (preferred), R*, or Java*.
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Keras.
• Expertise in natural language processing (NLP) , computer vision , deep learning , and LLMs .
• Proficiency in retrieval-augmented generation (RAG) , embedding models , and vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
• Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
• Strong understanding of Hugging Face Transformers , Model Hub , and tokenizers for model fine-tuning and deployment.
• Familiarity with big data tools such as Hadoop, Spark, or Kafka (preferred).
• Strong understanding of adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques .
• Knowledge of security best practices for AI, including prompt injection protection, data anonymization, and secure model deployment .
• Strong foundation in algorithms, data structures, and model evaluation techniques .
• Proven ability to deliver end-to-end AI/ML projects , from concept to production, with a focus on secure and responsible AI .
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills to collaborate with teams and present findings.
• Ability to work on-site and manage multiple projects effectively.

Perks and Benefits:

• Provident Fund and Medical Allowances
• Professional Training and Certifications
• Paid Time Off
• Semi-Annual Performance Bonus and Awards

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Location: Lahore
Job Type: Full-time
Experience: 5+ years

About Fusion Cortex:

Fusion Cortex is a cutting-edge IT company specializing in AI, Machine Learning, Computer Vision, IoT, and Sensory Programming. We are committed to pushing the boundaries of innovation by leveraging intelligent systems and data-driven solutions to solve complex industry challenges.

Job Overview:

We are looking for an experienced AI/ML Engineer to join our team and contribute to developing and deploying advanced AI/ML models for real-world applications. The ideal candidate should have expertise in deep learning, computer vision, natural language processing (NLP), and IoT-driven AI solutions. You will be responsible for designing, building, and optimizing AI/ML models while working closely with cross-functional teams to integrate them into production systems.

Key Responsibilities:

• Model Development & Optimization: Design, develop, and optimize machine learning models, including deep learning architectures, reinforcement learning, and traditional ML techniques.
• Computer Vision & NLP: Work on projects involving image recognition, object detection, facial recognition, speech processing, and NLP applications.
• IoT & Sensory Data Processing: Implement AI-driven solutions for IoT applications, analyzing sensory data from connected devices.
• Data Engineering & Preprocessing: Collect, clean, and preprocess structured and unstructured data for ML model training and validation.
• Deployment & Integration: Deploy ML models into production using MLOps tools, ensuring scalability, efficiency, and real-time performance.
• AI Model Monitoring & Maintenance: Continuously monitor model performance, retrain, and fine-tune models as needed.
• Collaboration: Work with software engineers, data scientists, and domain experts to integrate AI/ML solutions into end-user applications.
• Research & Innovation: Stay up-to-date with the latest AI/ML trends, technologies, and research papers to enhance Fusion Cortex’s AI capabilities.
• Documentation & Reporting: Maintain thorough documentation of models, experiments, and technical workflows.

Required Skills & Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Programming Languages: Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, Scikit-Learn, and OpenCV.
• Machine Learning & Deep Learning: Expertise in ML algorithms, neural networks (CNNs, RNNs, Transformers), and optimization techniques.
• Computer Vision & NLP: Hands-on experience with object detection, segmentation, OCR, and NLP libraries (NLTK, SpaCy, Hugging Face).
• Big Data & Databases: Familiarity with SQL, NoSQL, and distributed computing tools (Apache Spark, Hadoop).
• Cloud & DevOps: Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools like Docker, Kubernetes, MLflow.
• IoT & Sensory Programming: Knowledge of AI applications in IoT, working with sensor data, edge AI, and embedded AI solutions.
• Mathematical & Statistical Foundations: Strong understanding of probability, linear algebra, optimization, and statistics.
• Problem-Solving & Analytical Thinking: Ability to analyze complex problems and design innovative AI solutions.
• Soft Skills: Strong communication skills, ability to work in a team, and a passion for AI innovation.

Preferred Skills (Nice to Have):

• Experience with Reinforcement Learning (RL) and Generative AI models (GANs, VAEs, LLMs).
• Knowledge of robotics and autonomous systems.
• Familiarity with cybersecurity in AI/ML applications.
• Contributions to open-source AI/ML projects.

What We Offer:

• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Flexible work schedule and remote work options.
• Competitive salary and performance-based bonuses.
• Professional development and learning opportunities.

How to Apply:

Interested candidates can apply by sending their resume and portfolio.

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