Job Description

JD:

• Education: Bachelors/Master's from a top-tier institute (IIT/Tier-1 etc.) in Computer Science, AI, or related field.
• 1 5+ years in applied ML/AI roles
• Expert in Python, strong in at least one deep-learning framework (PyTorch/TensorFlow).
• Experience with end-to-end ML pipelines (data prep, training, evaluation, deployment, monitoring).
• Proven success shipping ML-powered products not just models to real users.
• Hands-on with MLOps tooling (MLflow, Weights & Biases, DVC, Airflow, Prefect, etc.).
• Knowledge of containerized deployments (Docker, ECS, K8s) and CI/CD for ML.
• Strong fundamentals in statistics, experimentation, and interpreting real-world feedback.
• Experience optimizing/operating GPU inference (ONNX, TensorRT, mixed precision, batching).
• Familiar with vector databases, RAG pipelines, and LLM fine-tuning/adapters (LoRA/QLoRA).
• Exposure to observability stacks (Prometheus/Grafana/OpenTelemetry) and production logging/metrics.

Skills Required