Senior AIML Engineer

We are looking for a Senior AI/ML Engineer to architect and deploy production-grade AI/ML and Generative AI systems across domains such as NLP, Computer Vision, and deep learning. This role requires strong expertise in the end-to-end ML lifecycle, LLM/RAG pipelines, scalable backend systems, and MLOps/LLMOps.

You will build scalable, reliable, and cost-efficient AI platforms used in real-world applications.

Key Responsibilities

• Design and implement end-to-end ML pipelines (data ingestion → preprocessing → training → deployment → monitoring)
• Build LLM-powered applications using RAG and agentic workflows
• Develop scalable ML/LLM microservices (FastAPI or similar)
• Implement MLOps/LLMOps best practices
• Optimize latency, throughput, and cost of AI systems
• Work with vector databases for semantic search and retrieval
• Design batch and real-time inference systems
• Collaborate with data engineering for robust data pipelines
• Lead AI system architecture decisions
• Mentor junior engineers and enforce production-quality standards