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
Trainee AI/ML Engineer
Build and deploy AI systems using semantic search, RAG, and multi-agent workflows with LLMs and NLP/NLU techniques in Python and cloud platforms.
AI/ML & Quantum Computing (Internship)
Internship in AI/ML and quantum computing with a path to full-time work; build models in Python and libraries like TensorFlow/PyTorch.
Machine Learning Engineer
Design and build ML models for agricultural technology products, collaborating with data scientists and engineers to deploy solutions.
Computer Vision Engineer
Develops and optimizes computer-vision models (object detection, segmentation) using OpenCV, PyTorch, and YOLO for real-time applications in an office setting.
AI / ML Engineer (Applied AI & Automations)
Build and deploy production-grade AI systems, including NLP, LLM features, and automations, to power workflows for restoration-industry SaaS customers.
AI ML Engineer
Build and deploy production-grade AI/ML models using Python, TensorFlow, PyTorch, and MLOps tooling for scalable, real-world applications.
Junior Machine Learning Engineer – AI Systems & Frameworks
Build Python/C++ frameworks and APIs to run Vision and Generative AI models efficiently on custom AI accelerators, profiling and optimizing performance-critical code.
Deep Learning Engineer: AI Models, Vision & NLP
Develop and deploy deep learning models for AI solutions, focusing on computer vision and NLP, while collaborating with data scientists and engineers.
Machine Learning Engineer
Build and deploy ML models for a company whose core product is AI, working on innovative solutions in Lahore.
AI Deep Learning
Develop and implement deep learning algorithms for AI projects using Python, TensorFlow, and Keras, with a focus on computer vision and NLP.
Machine Learning Engineer
Design and build ML models, optimize them for performance, and collaborate with data scientists and engineers to solve business problems using Python or R.
Machine Learning Engineer
Build and deploy ML models for translation and language tasks using Python, TensorFlow, and scikit-learn in a product-focused team.
Machine Learning Engineer
Designs and implements ML models and data pipelines for a climate-focused company, using Python or R.
Senior AI ML Engineer
Build and deploy AI systems including LLMs, computer vision, and autonomous agents using Python, PyTorch, and LangChain, then productionize them with MLOps on cloud platforms.
Senior ML Engineer: Enterprise AI & MLOps Architect
Designs and deploys enterprise ML systems using Microsoft Fabric and Azure ML, turning structured and unstructured data into scalable AI and predictive analytics solutions.
Senior Machine Learning Engineer - Technology Consulting - Microsoft - Pakistan
Design, build, and deploy ML models using Microsoft Fabric and Azure ML, then operationalize them with MLOps for enterprise clients.
Senior AI/ML Engineer
Build and optimize GenAI systems using LLMs, prompt engineering, RAG, and agent workflows with frameworks like LangChain. Integrate APIs, vector databases, and external tools for scalable AI solutions.
Machine Learning Engineer (NLP)
Build and improve NLP models for text-based tasks like classification and sentiment analysis using Python and libraries such as NLTK, SpaCy, and Transformers.
Senior Software Engineer (AI/ML)
Build and scale AI agents and ML pipelines using Python, PyTorch/TensorFlow, and frameworks like LangChain; integrate LLMs, vector DBs, and cloud-native systems.