Related skills
javascript aws python kubernetes gcp📋 Description
- Work with leading ML/GenAI teams to drive value
- Act as trusted advisor to customers and stakeholders
- Demonstrate Arize value to tech and business audiences
- Lead strategic business reviews with the sales team
- Gather client goals and KPIs with pre-sales
- Partner with product/engineering to influence roadmap and expansions
🎯 Requirements
- Data Scientist or ML Engineer with production ML experience
- Public clouds (AWS, Azure, GCP) experience
- ML frameworks: TensorFlow, PyTorch, Scikit-learn
- LLM/Agentic frameworks: Llamaindex, LangGraph, DSPy
- ML lifecycle concepts, model eval, deployment, REST APIs
- Proficiency in Python or JavaScript/TypeScript
🎁 Benefits
- Remote-first with NYC/SF in-person options
- Monthly WFH coworking space stipend
- Medical, dental, vision, 401(k) benefits
- Generous parental leave and unlimited PTO
- Competitive equity package
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