AI Engineer

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. 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 3–8 years in AI/ML/Applied ML Engineering; minimum 2 production deployments. Industry Preferred Qualifications Bachelor’s/Master’s in CS/EE/Math/AI/related fields (or demonstrably equivalent experience). General Requirements 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. Soft Skills Product mindset and problem‑solving. Cross‑functional collaboration and crisp communication. Our commitment to Diversity, Equity, and Inclusion Job Segment: Engineer, Engineering Apply now » Apply now Apply Now Start apply with LinkedIn Start Please wait... Find similar jobs: Legal Information: Terms of Use Privacy Policy Corporate Information Home Page Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2018 Mahindra & Mahindra Ltd. All rights reserved