Related skills
azure aws gcp spark rag📋 Description
- Serve as thought leader, set vision, driving innovation across products.
- Shape long-term strategy by designing ML solutions with impact.
- Own full SDLC: architecture, design, testing, deployment, ops.
- Lead technical discussions, define best practices, ensure engineering rigor.
- Architect high-performance ML platforms for real-time GenAI systems.
- Partner with senior engineers and scientists to accelerate experimentation.
🎯 Requirements
- Degree in Computer Science, Mathematics, or related field
- 5+ years across the full SDLC: design, coding, reviews, testing, deployment, operations
- 5+ years architecting end-to-end ML solutions in production
- Proven expertise with Generative AI: RAG, AI Agents, LLM fine-tuning at scale
- Strong background in distributed systems on AWS, Azure, or GCP
- Demonstrated ability to solve highly complex, ambiguous problems
🎁 Benefits
- Inclusive culture valuing diversity
- Opportunity to work on GenAI, ML platforms at scale
- Collaborative, cross-functional teams
- Greenfield opportunities in AI
- Hybrid work model in Seattle area
- Professional growth with industry-leading tech
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!