Ai Ml Architect

Job Description : - Experience : 15+ years overall | Minimum

10 full-cycle AI / ML project implementations

including GenAI experience Required Skills & Experience :

15+ 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

AI compliance frameworks

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