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mlops llms langchain genai openai📋 Description
- Architect production ML/AI workloads on Databricks, incl pipelines and MLOps.
- GenAI practitioner: RAG, agentic systems, NL queries, observability.
- Build, scale, and optimize customer AI workloads; apply MLOps to productionize.
- Provide advanced technical support during sales: feature engineering, training, monitoring.
- Collaborate with product/engineering to voice customer needs and guide roadmap.
🎯 Requirements
- 5+ years hands-on ML exp in ML Engineer or AI Engineer roles.
- Graduate degree in CS/Engineering/Statistics or equivalent.
- Experience communicating technical concepts to both technical and non-technical audiences.
- Passion for collaboration, learning, and driving value through ML/AI.
- Can meet training and role outcomes within 3 months.
- Can travel up to 30% when needed.
🎁 Benefits
- Comprehensive benefits and perks.
- Pay transparency with regional ranges.
- Equity and annual bonus opportunities.
- Diversity and inclusion commitments.
- Opportunities to work with cutting-edge AI tech.
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