Ai/ml Engineer

Qualification: Bachelor's or Master's degree (16 years of education) in Computer Science, Artificial Intelligence, Machine Learning or a related field from an HEC-recognized university. Preference would be given to foreign qualified candidates with proven track record. Experience: At least 5 years in ML/AI engineering with production deployments; demonstrable LLM application experience (portfolio/GitHub welcome). Skills & Competencies: • Python, PyTorch/TensorFlow, Hugging Face ecosystem • LLM engineering: prompt design, RAG, fine-tuning, vector databases, evaluation • MLOps: MLflow/W&B, Docker/Kubernetes, cloud deployment • Solid software engineering: APIs, testing, Git, CI/CD • NLP for low-resource languages (Urdu/Punjabi) a plus Key Performance Indicators (KPIs): • Number of models and features shipped to production on schedule. • Model accuracy, performance and post-deployment stability metrics.