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aws kubernetes pytorch mlops llms📋 Description
- Lead ML engineering team and customer engagements
- Hire, develop, and maintain team health
- Shape architecture and drive pre-sales
- Hands-on delivery for end-to-end engagements
- Grow ML practice standards and accelerators
- Align staffing with engagements and growth
🎯 Requirements
- 10+ years in ML/AI with client-facing engagements
- Proven people management experience
- Deep knowledge of AWS ML and GenAI ecosystem
- Expertise in 2-3 ML domains (CV, NLP, time series)
- Architect and govern production ML systems end-to-end
- Foundation model adaptation (LoRA/QLoRA/PEFT) and RLHF
- Independent in complex customer environments
- AWS ML certifications and practice standards experience
🎁 Benefits
- 100% remote work
- Medical Insurance for you and dependents
- Generous holidays and flexible PTO
- Competitive phantom equity
- Paid for exams and certifications
- Peer bonus awards
- State-of-the-art laptop and tools
- Equipment & Office Stipend
- Individual professional development plan
- Annual stipend for Learning and Development
- Work with an amazing worldwide team
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