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