Mahindra & Mahindra—AI Engineer

Job description

Description: Responsibilities & Key Deliverables We seek AI Engineers who can build and ship production‑grade AI systems (LLMs, NLP, Computer Vision, predictive analytics) across M&M’s businesses. Candidates must demonstrate strong engineering fundamentals, hands‑on model lifecycle ownership, and enterprise deployment experience. Below are the roles & responsibilities: - Design, train, fine‑tune, and evaluate models; drive A/B experiments and benchmarking. - Build scalable data and model pipelines (feature extraction, training, inference, monitoring). - Deploy on cloud (Azure/AWS/GCP) using Docker/Kubernetes; implement CI/CD and observability. - Integrate models into services/APIs; ensure SLAs on latency, throughput, and cost. - Implement MLOps best practices (MLflow/model registry/versioning, retraining triggers, drift detection). - Collaborate with product/business teams; translate requirements into robust AI solutions. Experience - Experience: 3–8 years in AI/ML/Applied ML Engineering; minimum 2 production deployments. - Tech: Python, PyTorch or TensorFlow; cloud (Azure/AWS/GCP); Docker/K8s; CI/CD; MLflow or equivalent. - GenAI/LLMs: Practical knowledge of prompting, RAG, vector DBs (FAISS/PGVector/Weaviate/Milvus), and fine‑tuning or adapters (LoRA/QLoRA). - Systems: Ability to profile/optimize inference (batching, quantization). - Work Mode: WFO only; willingness to relocate to Mumbai preferred. Qualifications Bachelor’s/Master’s in CS/EE/Math/AI/related fields (or demonstrably equivalent experience).