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 solid 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

📌 AI Engineer (India)
🏢 Mahindra & Mahindra
📍 India