Related skills
mlops rag langchain genai openai📋 Description
- Architect production ML/AI workloads on Databricks platform (pipelines, MLOps)
- Lead GenAI projects: RAG, agentic systems, NLP querying, observability
- Build and scale customer AI workloads; apply MLOps for production
- Provide advanced technical support during pre-sales; participate in ML SME community
- Collaborate with product/engineering to reflect customer voice and influence roadmap
🎯 Requirements
- 5+ years hands-on ML experience in ML Engineer or AI Engineer roles
- ML Engineer: production infra on AWS/Azure/GCP; drift monitoring
- AI Engineer: LLMs, vector DBs, fine-tuning; guardrails; deploy with HuggingFace/Langchain
- Graduate degree in CS/Engineering/Statistics or equivalent
- Experience communicating technical concepts to diverse audiences
- Passion for collaboration and ML/AI value delivery
- [Preferred] 2+ years customer-facing in pre/post-sales
- Can meet training/outcomes within 3 months
- Remote role possible; travel up to 30% when needed
🎁 Benefits
- Benefits and compensation details on the company site
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