Team Lead (AI & ML)

Team Lead (AI & ML) in the Information Technology Wing of the Punjab Enforcement & Regulatory Authority, building and running PERA's on-premises AI stack covering local LLMs, RAG, computer vision and audio intelligence.

• Design and procure GPU hardware specifications for the PERA on-premises AI data center (NVIDIA A100/H100 or equivalent)
• Install, configure and maintain the full local AI stack - CUDA, cuDNN, drivers and inference runtimes (Ollama, vLLM, llama.cpp)
• Deploy and manage open-source foundation models (LLaMA 3, Mistral, Qwen or equivalent) entirely on local hardware
• Implement model quantization (GGUF, GPTQ, AWQ) for efficient inference within available GPU VRAM constraints
• Ensure zero data egress - all model inference, training data and embeddings remain on PERA servers
• Design and implement a production-grade Retrieval-Augmented Generation (RAG) pipeline using LangChain or LlamaIndex
• Build a local vector database (Qdrant, ChromaDB or Weaviate) to store embeddings of PERA documents, regulations and operational data
• Develop document ingestion pipelines supporting PDF, Word, structured DB data and scanned documents via OCR
• Implement semantic search, hybrid search (dense + sparse) and re-ranking for accurate knowledge retrieval
• Create a self-improving feedback loop where user interactions refine retrieval and generation quality
• Fine-tune foundation models on PERA-specific datasets using LoRA/QLoRA to adapt them to legal, enforcement and regulatory language
• Design data pipelines to collect, clean, label and version-control training datasets from operational software logs and databases
• Implement continuous model evaluation, A/B testing and performance benchmarking (ROUGE, BLEU, F1, custom domain metrics)
• Maintain a Model Registry for versioning, rollback and lifecycle management of all deployed models
• Develop and expose AI capabilities as secure RESTful APIs (FastAPI / .NET Core) for consumption by FRMS, PERA360, HRMIS and other platforms
• Deliver APIs for natural language Q&A, document summarization, intelligent search, prediction outputs and anomaly detection
• Implement forecasting and analytics models (time-series, regression) for enforcement trends, inspection planning and resource allocation
• Ensure API versioning, authentication, rate limiting and API documentation (Swagger/OpenAPI)
• Deploy and fine-tune object detection models (YOLOv8/v10, RT-DETR) on PERA's GPU infrastructure for video-based surveillance
• Build real-time and batch video analysis pipelines for detection of violations, unauthorized activities and entity recognition
• Integrate computer vision outputs with FRMS enforcement workflows via API hooks
• Maintain model accuracy through periodic retraining on new annotated video datasets
• Deploy local speech-to-text models (Whisper / WhisperX) supporting Urdu, Punjabi and English for body-camera and call recordings
• Build keyword spotting and flagging pipelines to detect specific phrases, commands or compliance-relevant terms in audio streams
• Develop speaker diarization capabilities to identify and separate multiple speakers in recordings
• Integrate audio intelligence outputs into PERA360 officer accountability workflows
• Design SQL Server schemas and data warehouses to store AI inference results, model outputs and training metadata
• Enforce strict data governance - classification, access control, audit logging and retention policies
• Ensure all AI pipelines comply with Government of Punjab data residency and cybersecurity requirements
• Produce regular AI system performance reports for leadership and compliance documentation
• Lead and grow the AI/ML team; define roles, onboarding plans and technical growth paths
• Establish MLOps practices: experiment tracking (MLflow), model versioning and automated retraining pipelines
• Collaborate with backend, frontend and DevOps teams to embed AI features into production software
• Produce technical documentation, architecture diagrams and research summaries for stakeholder communication

• Bachelor's or Master's - Masters/Bachelors (Hons) (16 years) in Computer Science, AI, Data Science or Software Engineering, in Computer Engineering/Sciences, Information Technology, Data Science, Artificial Intelligence, Software Engineering, recognised by HEC
• Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering or equivalent from a recognized university
• LLM & Foundation Models: LLaMA, Mistral, Qwen or equivalent with 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)
• Computer Vision: YOLOv8/v10, OpenCV, ONNX Runtime
• Audio/Speech: OpenAI Whisper / WhisperX, pyannote-audio
• MLOps: MLflow, DVC or equivalent
• GPU Infrastructure: CUDA/cuDNN, NVIDIA GPU administration, VRAM optimization
• API Development: FastAPI (Python) or ASP.NET Core
• Database: Microsoft SQL Server
• 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

• Required experience: At least 8 years
• Minimum 08 years of hands-on machine learning and AI development experience; experience in government, law enforcement or regulated-industry AI projects strongly preferred. Experience in private entities shall be accepted if such entity is registered with SECP, Registrar of Firms or any other Public Sector Regulatory Authority
• Experience accepted from: Public Sector Organizations, Private Sector Organizations

• All candidates: 25 – 60 years
• Age is counted on the closing date, 29 Oct 2026.

An upper limit of 60 years means you must not have reached that age on the date age is counted. A relaxation applies only to the candidates the advertisement names, with the proof it asks for.

1. Interview

• Paper type: Mcqs

• Domicile

1. Register on Punjab Job Portal
2. Apply Online
3. Submit Application

Advertised by

Punjab Enforcement & Regulatory Authority (PERA)

Application link

jobs.punjab.gov.pk

Added to this site

15 Oct 2026

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