154 Data Science Roles jobs in Pakistan

• Mastery in R and Python: Our team of expert solution developers is proficient in R and Python, ensuring the development of cutting-edge algorithms and applications.
• Innovative Machine Learning Models: We design and implement advanced machine learning models that drive intelligent decision-making and predictive analytics.
• Secure Blockchain Solutions: Our blockchain technology guarantees transparency, security, and trust in digital transactions, paving the way for decentralized applications.
• Creative Generative AI: We leverage generative AI to create unique and innovative solutions, from content generation to complex problem-solving.
• Efficient Microservices Development: Our microservices architecture ensures scalable, reliable, and efficient software solutions, enabling seamless integration and deployment.
  
  

• Ph.D. or Master's Degree: We seek individuals with advanced degrees in Computer Science, Engineering, Data Science, or related fields to join our team and contribute to our innovative projects.
  
  

• OpenStack and Microsoft Stack: Proficiency in OpenStack and Microsoft Stack is essential for developing robust and scalable solutions across various platforms.
  
  

• Languages: Proficiency in Python, R, or Java.
• Machine Learning Libraries and Frameworks: Experience with TensorFlow, PyTorch, and scikit-learn.
• Machine Learning Algorithms: Solid understanding of supervised and unsupervised learning, deep learning, and reinforcement learning.
• Data Preprocessing and Feature Engineering: Experience with data preprocessing, feature engineering, and data visualization techniques.
• Large-Scale Datasets: Proficiency in working with SQL and NoSQL databases, and big data processing frameworks like Hadoop and Spark.
• Software Engineering Best Practices: Familiarity with version control, testing, and code review.
• Mathematical and Statistical Skills: Strong ability to apply statistical methods and evaluate model performance.
• Problem-Solving and Analytical Thinking: Excellent skills to understand complex business problems and develop innovative solutions.
• Effective Communication: Ability to collaborate with cross-functional teams and present findings to both technical and non-technical stakeholders.
• Cloud Platforms: Experience with AWS, Azure, Google Cloud, and knowledge of deploying and managing machine learning models in cloud environments is a plus.
  
  

• Data Engineering
• Data Science
• Machine Learning
• Artificial Intelligence (AI)
• Computer Science
• Computer Vision
• Keras
• Natural Language Processing (NLP)
• Pattern Recognition
• Scikit
  
  

Seize the Future with Machine Learning, Blockchain, Generative AI, and Microservices: A 20-Year Opportunity!

Are you ready to embrace a unique opportunity that promises to shape the future of technology for the next two decades? Join us in our visionary project, where we harness the power of Machine Learning, Blockchain Technology, Generative AI, and Microservices to create groundbreaking solutions that will transform industries and redefine possibilities.

Why Join Us?

• Mastery in R and Python : Our team of expert solution developers is proficient in R and Python, ensuring the development of cutting-edge algorithms and applications.
• Innovative Machine Learning Models : We design and implement advanced machine learning models that drive intelligent decision-making and predictive analytics.
• Secure Blockchain Solutions : Our blockchain technology guarantees transparency, security, and trust in digital transactions, paving the way for decentralized applications.
• Creative Generative AI : We leverage generative AI to create unique and innovative solutions, from content generation to complex problem-solving.
• Efficient Microservices Development : Our microservices architecture ensures scalable, reliable, and efficient software solutions, enabling seamless integration and deployment.

Education Requirements:

• Ph.D. or Master's Degree : We seek individuals with advanced degrees in Computer Science, Engineering, Data Science, or related fields to join our team and contribute to our innovative projects.

Software Coding Skills:

• OpenStack and Microsoft Stack : Proficiency in OpenStack and Microsoft Stack is essential for developing robust and scalable solutions across various platforms.

Required Programming Skills:

• Languages : Proficiency in Python, R, or Java.
• Machine Learning Libraries and Frameworks : Experience with TensorFlow, PyTorch, and scikit-learn.
• Machine Learning Algorithms : Solid understanding of supervised and unsupervised learning, deep learning, and reinforcement learning.
• Data Preprocessing and Feature Engineering : Experience with data preprocessing, feature engineering, and data visualization techniques.
• Large-Scale Datasets : Proficiency in working with SQL and NoSQL databases, and big data processing frameworks like Hadoop and Spark.
• Software Engineering Best Practices : Familiarity with version control, testing, and code review.
• Mathematical and Statistical Skills : Strong ability to apply statistical methods and evaluate model performance.
• Problem-Solving and Analytical Thinking : Excellent skills to understand complex business problems and develop innovative solutions.
• Effective Communication : Ability to collaborate with cross-functional teams and present findings to both technical and non-technical stakeholders.
• Cloud Platforms : Experience with AWS, Azure, Google Cloud, and knowledge of deploying and managing machine learning models in cloud environments is a plus.

Required Qualifications, Capabilities, and Skills:

• Data Engineering
• Data Science
• Machine Learning
• Artificial Intelligence (AI)
• Computer Science
• Computer Vision
• Keras
• Natural Language Processing (NLP)
• Pattern Recognition
• Scikit

Join a dynamic team that is pushing the boundaries of technology. Collaborate with experts, contribute to pioneering research, and develop solutions that will redefine the way we live and work.

• 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
  
  

We build cutting edge Cloud-based solutions used by over 15,000 companies worldwide, primarily in the US, Australia, and Canada. Our goal is to be the leading SaaS provider for enterprises. Our clients include NASA, 3M, Disney, Amazon, and more.

We're seeking Deep Learning Engineers to enhance our products through AI/ML for recommendations, pattern recognition, and creating smarter systems to boost efficiency.

Requirements:

• Implement machine learning algorithms effectively
• Strong understanding of statistics and deep learning fundamentals
• Solid engineering background with the ability to develop production-ready services
• Proficiency in an object-oriented programming language
• Experience in building efficient, optimized systems, including parallel processing with GPUs for fast response times
• At least 2-3 years of proven experience in deep learning or machine learning

Responsibilities:

• Develop pipelines capable of handling large-scale deep learning data
• Conduct experiments for hypothesis testing
• Continuous optimization of models and systems

• 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
  
  

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.

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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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