ML / AI Jobs in Pakistan
There are 82 open ML / AI jobs in Pakistan on freehire right now. 7 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 90%
- ai 85%
- python 78%
- tensorflow 62%
- pytorch 59%
- cloud 49%
- llm 48%
- azure 38%
How the work is done
- Remote 5 · 6%
- Onsite 3 · 4%
Visa sponsorship offered in 100% of the 6 postings that state a position on it.
Seniority
- Senior 23
- Intern 4
- Junior 3
- Lead 2
- Middle 1
Who is hiring
- 51-200 employees 3
- 1000+ employees 1
- 501-1000 employees 1
AI ML Engineer (Mid-Senior)
Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
AI Deep Learning
Build and fine-tune deep learning models for computer vision and NLP, integrate them into products, and optimize performance.
Computer Vision Engineer, Healthcare AI
Build and deploy computer-vision models for early detection of eye diseases using TensorFlow/PyTorch on AWS, focusing on segmentation, detection, and explainable AI for global healthcare impact.
Jr. Al ML Engineer
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Deep Learning Engineer
Design and deploy deep learning models (LLMs, CNNs, GANs) for image, text, or signal data, optimizing architectures and addressing bias and overfitting in production.
Junior AI Engineer — On-Site, AI/ML Dev & Collaboration
Assists in building and deploying AI models, analyzing data, and collaborating with teams to implement features using Python and ML algorithms.
Hands-on AI/ML Engineer: Build Multi-Agent Pipelines
Build and deploy multi-agent AI pipelines using LangGraph/LangChain, integrating AWS services and OCR tools to turn designs into working agentic workflows.
Global IT Business Development Lead - AI/ML & Web Solutions
Drive international IT business development for an outsource firm, prospecting clients and closing projects in AI/ML, web, and software solutions.
Lead AWS AI Engineer - ML/AI Solutions Architect
Lead a team to build, optimize, and deploy AI models on AWS using SageMaker, Bedrock, and Rekognition, while architecting scalable data pipelines with Athena, Redshift, and OpenSearch.
AI/ML & Quantum Computing Internship — Fast Track to Full-Time
Intern in Islamabad contributing to AI/ML and quantum-computing projects under mentorship, using Python and ML libraries.
AI/ML Engineer
Build and deploy production-grade ML models, LLM integrations, and automation pipelines for enterprise clients using Python, TensorFlow/PyTorch, and cloud platforms.
AI/ML Engineer
Build and optimize ML models, LLMs, and RAG systems using Python, TensorFlow, and PyTorch, and deploy them on cloud platforms like AWS or Azure.
Machine Learning Engineer - (Remote)
Build and deploy LLM-based applications using frameworks like PyTorch and Hugging Face, focusing on NLP and large language models such as LLaMA.
Machine Learning Engineer
Design and build ML models to solve business problems using Python or R, collaborating with teams to analyze data and improve predictive systems.
Machine Learning Engineer
Build and deploy ML models using TensorFlow and NLP, quantize models for mobile, and analyze large datasets to enhance products.
Machine Learning Engineer
Build and deploy ML models for translation-related tasks using Python, TensorFlow, and cloud tools in an office-based role.
Senior Machine Learning Engineer
Build C++/Python frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, optimizing performance and integrating with compiler/runtime teams.
Software Engineer Ruby on Rails/React/Flutter/AI/ML
Build full-stack web and mobile apps in Ruby on Rails, React, and Flutter, and integrate AI/ML models using OpenAI API, TensorFlow, and PyTorch.
AI/ML Engineer
Design and deploy AI agents and chatbots for enterprise clients, integrating business data and automating workflows.
AI Deep Learning
Develop and implement deep learning models using Python/R, including data preprocessing and model training, for AI-driven projects in a product-focused team.