Related skills
aws kubernetes gcp kafka langgraph📋 Description
- Lead and mentor a team of Applied Scientists and AI/ML Engineers
- Define strategy for AI/ML solutions on structured and unstructured data
- Build AI-native CRM intelligence with autonomous workflows
- Partner with AI Platform on LLMOps infrastructure
- Apply scientific rigor to design customer-centric AI systems
- Serve as a technical authority shaping the AI roadmap
🎯 Requirements
- 8+ years of applied science/engineering in ML/AI at scale
- Proven ability to lead and scale a technical team; mentor senior talent
- Deep expertise in modern AI engineering; LangGraph, RAG, vector databases
- Builder-scientist mindset; shipping iterative data products
- Proven track record delivering value with AI/ML at scale
- Broad exposure to ML, DL, and AI; understand model trade-offs
🎁 Benefits
- People-first culture valuing collaboration
- Push boundaries with latest technologies
- Flexible hours, wellness perks, and generous leave
- Growth through mentorship and internal mobility
- Meaningful work helping 100,000+ SMBs grow
- Equal opportunity employer with inclusive policies
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