AI Engineer

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

Qualifications

• Bachelor’s/Master’s in CS/EE/Math/AI/related fields (or demonstrably equivalent experience).

General Requirements