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What You’ll Do:
• Execute AI/ML initiatives in partnership with data, technology, product and business teams.
• Contribute to the end-to-end model lifecycle: data exploration, feature development, model training/validation, deployment, monitoring, and iteration.
• Develop and help operationalize models using AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling.
• Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
• Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.
Job Description
What You’ll Do:
• Execute AI/ML initiatives in partnership with data, technology, product and business teams.
• Contribute to the end-to-end model lifecycle: data exploration, feature development, model training/validation, deployment, monitoring, and iteration.
• Develop and help operationalize models using AWS (e.g., SageMaker, Bedrock) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability; partner with ML engineers for large-scale production deployment and scaling.
• Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.
• Assist in implementing and refining LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.
• Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.
• Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.