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mlops llms rag langchain openai📋 Description
- Architect production ML & AI workloads on Databricks platform, incl pipelines and MLOps.
- Serve as GenAI expert for enterprise solutions: RAG, agentic systems, NLQ, observability, monitoring.
- Build, scale, and optimize AI workloads; apply strong MLOps across domains.
- Support technical sales with feature engineering, training, tracking, serving, monitoring.
- Collaborate with product/engineering to voice customer needs and influence roadmap.
🎯 Requirements
- 7+ years ML experience in ML Engineer or AI Engineer roles.
- Cloud deployment experience (AWS/Azure/GCP) for ML apps, including drift monitoring.
- Experience with data engineering concepts.
- Strong ability to communicate technical concepts to diverse audiences.
- Passion for collaboration, learning, and driving business value with ML/AI.
- Preferred: 5+ years customer-facing in pre-sales or post-sales roles.
🎁 Benefits
- Comprehensive benefits and perks; details by region at mybenefitsnow.com/databricks.
- Commitment to diversity and inclusion; inclusive hiring practices.
- Global presence with offices around the world.
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