AI ML Architect

Required Skills & Experience :

13+ years of experience in AI / ML, data engineering, and cloud architecture.

Minimum of 10 end-to-end AI / ML project implementations from use case discovery through to productionization.

Proven expertise in : (Any One)

AI / ML frameworks : scikit-learn, XGBoost, TensorFlow, PyTorch

GenAI / LLM platforms : OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma)

Cloud platforms : AWS, Azure, GCP including AI / ML & GenAI native services

MLOps / LLMOps tools : MLflow, Kubeflow, SageMaker Pipelines, Vertex AI Pipelines

Strong experience with data security, governance, model risk management, and AI compliance frameworks

Ability to lead large cross-functional teams and engage both technical teams and senior stakeholders