About This Job
District: LAHORE
Industry: Punjab Enforcement and Regulatory Authority Lahore
Project: PERA Contractual Staff
Total Positions: 1
Employment Status: Contract
Role: Team Lead (AI & ML)
Level: SPPP-03
Qualification and Experience:
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or equivalent from a recognized university.
• Minimum 08 years of hands-on machine learning and AI development experience. Experience in government, law enforcement, or regulated-industry AI projects is strongly preferred.
Note: Experience in private entities shall be accepted if such entity is registered with SECP, Registrar of Firms or any other Public Sector Regulatory Authority.
Competencies & Personal Attributes:
• Demonstrated experience deploying and serving LLMs locally (not just API-based usage).
• Proven experience building and productionizing RAG pipelines.
• Hands-on experience with computer vision and/or audio/speech ML models.
• Deep intellectual curiosity — stays current with rapidly evolving LLM and AI research.
• Strong systems thinking — able to design end-to-end AI pipelines from data ingestion to prediction delivery.
• Resilient problem-solver in resource-constrained on-premises environments (no cloud fallback).
• Strong communicator — able to translate complex AI capabilities into business outcomes for executives.
• Commitment to data sovereignty, privacy, and government compliance requirements.
• Collaborative and able to work across software, infrastructure, and operations teams.
Mandatory Technical Requirements
• LLM & Foundation Models: LLaMA, Mistral, Qwen, or equivalent — hands-on local deployment experience
• LLM Serving: Ollama, vLLM, llama.cpp, or TGI — inference optimization and quantization (GGUF/GPTQ/AWQ)
• RAG Frameworks: LangChain or LlamaIndex — end-to-end RAG pipeline implementation
• Vector Databases: Qdrant, ChromaDB, Weaviate, or Milvus — production-scale embedding storage and retrieval
• ML Frameworks: PyTorch, Hugging Face Transformers, PEFT (LoRA/QLoRA for fine-tuning)
• Computer Vision: YOLOv8/v10, OpenCV, ONNX Runtime — object detection and video analysis
• Audio/Speech: OpenAI Whisper / WhisperX, pyannote-audio — transcription and diarization
• MLOps: MLflow, DVC, or equivalent — experiment tracking, model registry, pipeline automation
• GPU Infrastructure: CUDA/cuDNN, NVIDIA GPU administration, VRAM optimization
• API Development: FastAPI (Python) or ASP.NET Core — for exposing AI services to existing software stacks
• Database: Microsoft SQL Server — for storing model outputs, metadata, and AI-derived analytics
• Languages: Python (primary), with working knowledge of C# for .NET integration
• Docker & Containerization: GPU-enabled Docker (NVIDIA Container Toolkit), docker-compose
• AI Productivity Tools: Claude, GitHub Copilot, or equivalent — mandatory daily usage
Years of Experience:
Masters/Bachelors (Hons) (16 years) : 8 year(s)
Gender: Both
Age: 25 - 60