Related skills
sql python ci/cd rag llmπ Description
- Design and maintain scalable data-to-AI pipelines (ingestion to monitoring).
- Deliver AI-driven solutions to improve metrics (revenue, cost, satisfaction).
- Partner with Data and Product to identify AI opportunities aligned with goals.
- Establish AI/ML governance, standards, and best practices.
- Deliver data-driven insights and reporting to inform decisions.
- Build experiments to validate model performance and business impact.
π― Requirements
- 3-5 years designing and operating end-to-end data and AI systems in production.
- ML lifecycle knowledge from data gathering to deployment and iteration.
- Hands-on with LLM-based systems (RAG, prompts, eval, API integration).
- Strong Python and SQL programming; production-grade code.
- Experience with AWS Bedrock and SageMaker; cloud AI/ML services.
- CI/CD, testing, and containerization fundamentals.
π Benefits
- Earn competitive pay with annual performance-based bonuses that recognize your impact.
- 401(k) plan with company matching.
- Comprehensive medical, dental, and vision coverage, plus HSA and FSA options.
- Paid vacation and sick days, plus a birthday day off.
- Two paid volunteer days to give back to the community.
- LinkedIn Learning access and education reimbursement program.
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