Required Skills & Experience:12+ 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, PyTorchGenAI/LLM platforms: OpenAI, Cohere, Mistral, LangChain, Hugging Face, vector DBs (Pinecone, FAISS, Chroma)Cloud platforms: AWS, Azure, GCP including AI/ML & GenAI native servicesMLOps/LLMOps tools: MLflow, Kubeflow, SageMaker Pipelines, Vertex AI PipelinesStrong experience with data security, governance, model risk management, and AI compliance frameworksAbility to lead large cross-functional teams and engage both technical teams and senior stakeholders
