Al / ML Engineer

Key Responsibilities:

• Design and implement data ingestion pipelines, creating scalable ETL/ELT workflows for structured and unstructured sources (APIs, databases, real-time streams).
• Build intelligent AI agents — LLM-based, rule-based, or hybrid — for automation, retrieval-augmented generation (RAG), and decision-making tasks.
• Deploy and manage AI backend services, containerizing models using Docker/Kubernetes, developing APIs with FastAPI/Flask, and operating in AWS/GCP/Azure environments.
• Lead MLOps implementation, from model fine-tuning and CI/CD pipelines to performance monitoring, logging, and drift detection.

Required Skills & Experience:

• Strong experience in building and deploying data pipelines for diverse data formats and sources.
• Proven ability to develop and scale AI models, including LLMs and RAG pipelines.
• Proficiency in cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).
• Expertise in building RESTful APIs with FastAPI or Flask.
• Deep understanding of MLOps practices, including automation, monitoring, and version control of machine learning workflows.

Job Type: Full-time

Pay: Rs90,000.00 - Rs120,000.00 per month

Ability to commute/relocate:

• Lahore: Reliably commute or planning to relocate before starting work (Preferred)

Work Location: In person