Related skills
java terraform python scala airflow📋 Description
- Architectural leadership for a unified MLOps platform.
- CI/CD for ML, automated testing, and Terraform IaC.
- Cross-functional collaboration with Data Eng, DevOps, and Product.
- Strategic roadmapping for 1-2 year AI infrastructure vision.
- Observability and incident response ownership for ML systems.
- Mentorship of P2/P3 engineers and setting standards.
🎯 Requirements
- Education: Bachelor's or Master's in CS, AI, or related field.
- Experience: 10-12+ years in software, 6-7 years in ML productionizing.
- Core Tech: Python, Scala, or Java/Kotlin; PySpark.
- Gen AI & LLMOps: Productionizing LLM apps; vector DBs; LangChain.
- System Design: Distributed systems with sub-second latency.
- AWS tooling: SageMaker, DynamoDB, Athena, Glue.
🎁 Benefits
- Hybrid work model balancing in-person collaboration.
- Competitive compensation and benefits.
- Total rewards program with health and retirement benefits.
- Learning and growth opportunities.
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