265 Machine Learning jobs in Pakistan

• Design, train, and validate machine learning models
• Process and clean large datasets for training
• Automate model pipelines and deployment
• Monitor and retrain models for performance enhancement
• Collaborate on research and development initiatives
  
  

• Bachelor's or Master's in Computer Science, ML, or similar
• 3+ years of experience in ML engineering
• Experience with Python, TensorFlow, and scikit-learn
• Familiarity with Docker, Kubernetes, and cloud services
  
  

You will work closely with stakeholders, some of our most distinguished customers from different parts of the world, and product management teams nurturing long-lasting relationships. You’ll engage with customers on some of their world-class best-in-breed software solutions.

• Excellent written and oral English communication skills.
• 5- 10 years of hands-on experience in predictive modeling and analysis
• Ability to work in Lahore, or relocate to Lahore.
• Degree in Computer Science, Artificial Intelligence, Machine Learning, Operational Research, Statistics or in another highly quantitative field.

• Experience with advanced AI/ML techniques, including traditional ML techniques and deep learning, (e.g. Python, C++, Java, GO, MatLab, etc).
• Experience interfacing with databases ( Firebase, SQL, MongoDB, etc).
• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc).
• Extensive Knowledge and Skills in ML Frameworks like TensorFlow, Keras, Pytorch etc ) libraries ( Like Scikit-learn and pandas), data structures, data modeling, and software architecture.

thdinfinity is an elite full-cycle software development company with a world-class team of talented data scientists, developers, designers, mathematicians, engineers, and creative artists. We sign-in everyday to a much fun-filled environment which helps us to look and develop things our clients would enjoy. Our technology development is based on simplicity inspired by our culture of integrity and originality.

• Salary of PKR 100K-PKR 450K depending on the qualification and experience.
• Very cozy Lahore office with all the perfect “feel at home” amenities.
• All the market competitive benefits including health insurances for self and family, mobilization and OPD allowances, Provident Fund, and Car Entitlement Benefits etc.
• Flexi-Working Time Zones
• Self-Development Programs

Machine Learning Engineer


We are in search of a highly skilled Machine Learning Engineer to join our team in Khanpur. In this role, you will be responsible for developing, testing, and implementing cutting-edge machine learning algorithms and models to solve complex problems and improve our products. You will work closely with cross-functional teams to understand business requirements and provide data-driven solutions.

Key Responsibilities:
- Develop and implement machine learning algorithms and models to analyze large datasets and extract valuable insights.
- Collaborate with software engineers to integrate models into our products.
- Conduct experiments, tests, and analysis to evaluate the performance of different models.
- Optimize existing machine learning algorithms for better accuracy, scalability, and efficiency.
- Stay updated with the latest advancements in the field of machine learning and incorporate them into our processes.
- Communicate complex technical concepts to non-technical stakeholders.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 2 years of experience as a Machine Learning Engineer.
- Strong programming skills in Python, R or Java.
- Experience working with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of statistical modelling techniques and data visualization tools.
- Familiarity with cloud computing platforms such as AWS or Azure.
- Excellent problem-solving skills and attention to detail.

Salary:
We offer a competitive salary of 1700$ per month for this role.

Location:
This position is based in Khanpur. Accommodation will be provided for candidates who require it.

We welcome candidates from all backgrounds. Diversity is important to us as we believe it drives innovation. If you are passionate about machine learning and have the required skills and experience, we encourage you to apply for this exciting opportunity.

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3000+ $

2 minutes ago

UAE (Dubai)

15-05-2025

Honest and trustworthy applicant are needed

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We are seeking a highly skilled Machine Learning Engineer to join a leading technology company in Faisalabad on a contract basis.

Responsibilities include:

1. Developing and deploying machine learning models
2. Conducting data analysis
3. Collaborating with cross-functional teams to drive business insights

The ideal candidate will have a strong background in machine learning and data science, with experience working on large-scale projects.

This role offers a salary of $1200 per month , along with accommodation, a free visa, and a ticket.

If you are passionate about leveraging cutting-edge technology to solve real-world problems, we encourage you to apply!

Job Title: Machine Learning Engineer

We are hiring a skilled Machine Learning Engineer to join our dynamic team in Lahore. The ideal candidate will have a strong background in machine learning algorithms and techniques, as well as experience with programming languages such as Python and R. You will be responsible for designing, implementing, and maintaining machine learning models that drive business decisions and improve efficiency. Additionally, you will collaborate with cross-functional teams to identify opportunities for implementing machine learning solutions. This role requires strong analytical skills, attention to detail, and the ability to work independently.

Additional details:

• Accommodation is not provided.
• Visa sponsorship is available for all nationalities.
• Salary: $1400 per month.

Job Description

Build autonomous AI-driven agents for tasks such as reasoning, decision-making, automation, and contextual understanding.

Customize and deploy GPT, LLaMA, Claude, Mistral, and other foundation models to solve industry-specific challenges.

Design scalable, production-ready AI workflows using Python, LangChain, LlamaIndex, OpenAI functions, and AutoGPT.

Enhance AI agents with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate, ChromaDB), and knowledge graphs.

Work with text, images, audio, and structured data to create multimodal AI applications.

Implement reinforcement learning, agentic workflows, and action-planning techniques to enhance AI autonomy.

Optimize and deploy models on cloud platforms (AWS, Azure, GCP) and ensure efficiency in a microservices-based architecture.

Leverage few-shot learning, prompt chaining, and tool-use APIs to improve AI reasoning capabilities.

Develop responsible AI solutions by addressing bias, explainability, and security concerns.

Proven experience developing GenAI-powered applications and AI agents.

Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI API).

Hands-on expertise in LLM fine-tuning, model adaptation, and prompt engineering.

Familiarity with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and knowledge retrieval techniques.

Experience integrating AI with APIs, automation frameworks, and microservices.

Working knowledge of cloud-based AI deployment (AWS, Azure, GCP).

Understanding of NLP, reinforcement learning, and multi-agent architectures.

Strong problem-solving skills, ability to work independently, and in a collaborative team environment.

Excellent communication skills with a passion for AI-driven innovation.

Join to apply for the Machine Learning Engineer role at Avanceon Middle East & South Asia .

Octopus Digital is leading the charge in Industry 4.0 across Pakistan and the Middle East, revolutionizing industries with smart factory solutions, AI, big data, and IoT. Our cloud-native, AI-powered platforms deliver actionable insights, making complex data accessible for all professionals. We help businesses digitize manufacturing, supply chain, and financial processes, offering 24/7 support and business intelligence through flexible subscription services. With a global presence and a focus on continuous innovation, we empower companies to thrive in the digital age and stay ahead of the competition. Let us help you unlock the future of your business.

Ready to make an impact with Machine Learning ? We’re looking for a Machine Learning Engineer to join our team! You'll develop cutting-edge ML models, collaborate with Data Engineering to build efficient ETL architectures, and guide stakeholders through powerful data insights. If you're passionate about ML, love taking the lead, and enjoy learning on the go, this is the perfect role for you!

• Take the lead in customer data meetings and suggest innovative ways to improve data insights.
• Collaborate with the Data Engineering Team to create powerful ETL architecture.
• Research and develop ML models to solve unique customer challenges and enhance datasets.
• Build ML models from the ground up and help product managers and stakeholders truly understand their power and results.
• Deploy models and interfaces that deliver real value to external customers.
• Be a mentor! Train data teams and analysts on ML modeling capabilities and how to drive value through data-driven KPIs for various industries.

• 1-2 years of hands-on programming experience, particularly with enterprise products.
• Mastery of multiple programming languages and a strong foundation in statistical platforms like Python, R, or MatLab.
• Experience in building robust datasets and creating ML models that make a real difference.
• Quick learner who takes initiative, loves leading the charge, and thrives in the world of data!

• Competitive Compensation: We value your expertise and reward it accordingly.
• Comprehensive Health & Life Insurance: Your well-being is our priority.
• Travel Support: Making your commute smoother and stress-free.
• Exciting Career Growth: Work on game-changing projects in a rapidly expanding company.
• Collaborative & Innovative Culture: Be part of a highly skilled team that values creativity and problem-solving.

If you're ready to shape the future with your ML expertise, and have fun while doing it, we'd love to have you on board!

Entry level

Full-time

Engineering and Information Technology

Automation Machinery Manufacturing

Job Description
Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.

Key Responsibilities:

• Design, train, and validate machine learning models.
• Process and clean large datasets for training.
• Automate model pipelines and deployment.
• Monitor and retrain models for performance enhancement.
• Collaborate on research and development initiatives.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, ML, or similar.
• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• Familiarity with Docker, Kubernetes, and cloud services.

Certification:
ML-related certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.

Key Responsibilities:

• Design, train, and validate machine learning models.
• Process and clean large datasets for training.
• Automate model pipelines and deployment.
• Monitor and retrain models for performance enhancement.
• Collaborate on research and development initiatives.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, ML, or similar.
• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• Familiarity with Docker, Kubernetes, and cloud services.

Certification:
ML-related certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.