ovearll 10+ years on DWH/BI technology experince with exposure on Ai&ML; solutioning with Amazon Sagemaker, AWS Bedrock, DBT and snowfalke experience. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field. AWS certification is a plus. Experience supporting enterprise-scale AI/ML platforms. Experience with healthcare/clinical data or Carepath-related applications is a plus. Experience with data governance, security, privacy, and regulatory requirements. Experience with GenAI, LLMOps, RAG pipelines, vector databases, or AI agents is desirable. Key Competencies Strong analytical and problem-solving skills. Ability to work across Data Engineering, Data Science, ML Engineering, Cloud, and DevOps teams. Strong communication and stakeholder-management skills.



Ability to troubleshoot complex production issues. Robust focus on automation, scalability, reliability, and operational excellence. Ability to translate business and AI/ML requirements into scalable technical solutions. Primary Technology Stack Data & DWH: SQL, Data Warehousing, ETL/ELT, Dimensional Modeling, Data Quality Analytics Engineering: dbt, dbt Cloud/Core Cloud: AWS, S3, Glue, Redshift, Lambda, SageMaker, CloudWatch Programming: Python, SQL AI/ML: Machine Learning, MLOps, Model Deployment, Model Monitoring, Model Governance AI Observability: Fiddler Exchange DevOps: Git, CI/CD, Docker, Terraform Advanced AI: Generative AI, LLMs, RAG, LLMOps - preferred

📌 Sr AI&ML Lead (Hyderabad)
🏢 NTT America
📍 Hyderabad