Related skills
azure aws gcp tensorflow pytorchπ Description
- Work closely with sophisticated ML/GenAI teams
- Act as trusted advisor to customers, building stakeholder relationships
- Advise on GenAI and ML best practices
- Give ML/LLM demos to technical and business stakeholders
- Run strategic business reviews with sales
- Interface with pre-sales to gather client goals and KPIβs
π― Requirements
- Data Scientist / ML Engineer / ML in production experience
- Cloud: AWS, Azure, GCP
- ML frameworks: TensorFlow, PyTorch, Scikit-learn
- LLM/Agentic frameworks: LlamaIndex, LangGraph, DSPy
- ML lifecycle concepts + REST APIs
- Programming: Python, JavaScript/TypeScript, Java, Go
π Benefits
- WFH stipend monthly
- Remote-first with NYC/SF offices as option
- Medical, dental, vision, 401(k) benefits
- Unlimited PTO and parental leave
- Mental and wellness support programs
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