Senior AI ML Engineer

Roles & Responsibilities

• Design and deliver AI/ML, Agentic AI, and LLM-based solutions end-to-end.
• Translate business needs into scalable AI architectures and measurable outcomes.
• Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows.
• Develop agentic workflows, prompt strategies, and system guardrails.
• Optimize AI systems for performance, cost, scalability, and reliability.
• Implement MLOps/CI-CD, monitoring, drift detection, and lifecycle management.
• Ensure production-grade data pipelines with validation, lineage, and reproducibility.
• Mentor engineers and drive responsible AI governance and architecture decisions.

Qualifications

• BACHELOR OF COMPUTER SCIENCE