ML Tech Lead

📋 Description

• Set ML project direction and standards
• Make ML system architecture decisions
• Review and approve ML designs
• Identify and address technical debt
• Champion ML engineering best practices
• Troubleshoot complex ML challenges

🎯 Requirements

• Deep ML expertise across multiple domains
• Production ML: production-grade systems
• Architecture: scalable ML architectures
• MLOps: ML infrastructure and operations
• LLM systems: modern LLM apps and RAG
• Software engineering: clean code, testing, CI/CD, docs, Git workflows

🎁 Benefits

• Long-term B2B collaboration
• Fully remote setup
• Budget for medical insurance
• Paid sick leave, vacation, holidays
• Continuous learning with AWS certification sponsorship