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.
Architect Ai Ml • India