Sr AI&ML Lead

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.

Strong 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