Position: Associate AI Engineer
Location: Bahria Town, Phase 7, Rawalpindi, Pakistan

About the role:
This is an early-career role for someone who wants to work on both the research and engineering sides of AI. You'll work alongside senior engineers on real projects, and grow into owning pieces of them yourself. The work spans classical ML and deep learning. What matters most is curiosity, solid fundamentals, and a willingness to learn quickly.

What you will do:
You'll turn promising ideas into working code, running experiments and reporting what you find. You'll build data pipelines for preparing datasets, and train and evaluate models with guidance from senior engineers. You'll containerize models with Docker and support deployment with DevOps/MLOps. Throughout, you'll write clean, tested code and pitch in on general development when needed.

What they are looking for:
1+ years building and training ML models, with work that reached production.
Strong Python, plus shell scripting and automation for data and training workflows.
Solid engineering fundamentals (testing, code review, CI/CD).
Deep learning experience with PyTorch/TensorFlow.
Sound ML fundamentals: statistics, optimization, evaluation methodology, experiment design.
Ability to read research papers and reimplement them.
Experience building data pipelines with large, messy real-world datasets.
Working familiarity with LLMs and foundation models, plus judgement about when they're the wrong tool.
Cloud experience with at least one major platform (AWS / GCP / Azure).
Working comfort on Linux servers and GPU environments (remote training runs, dependencies, resource management)
Ability to containerize your own work with Docker (reproducible images for training and inference).
Comfortable liaising with DevOps/MLOps on deployment and monitoring.