Engineering Manager, AI Platforms

Added
17 days ago
Type
Full time
Salary
Upgrade to Premium to se...

Related skills

docker aws kubernetes ai mlops

πŸ“‹ Description

  • Manage, coach, and grow a team of Software Engineers, ML & GenAI Engineers; conduct performance
  • Own the roadmap for Sia's AI Platforms, evolving them from experimental models to enterprise-grade
  • Oversee the development of scalable machine learning workflows, ensuring best practices in
  • Drive adoption of robust MLOps pipelines (CI/CD, model monitoring, drift detection) for reliability
  • Partner with Lead Data Scientists, Product Managers, and Cloud Architects to align technical
  • Provide architectural guidance and conduct reviews for complex AI integrations involving vector

🎯 Requirements

  • 8+ years of experience in the data/software space, with at least 3+ years in formal people
  • Deep understanding of the Data Science lifecycle, including EDA, feature engineering, and advanced
  • Hands-on experience building and scaling applications powered by LLMs (OpenAI, Claude, Llama) and
  • Proven track record with Kubernetes, Docker, and cloud-native AI services (AWS Bedrock/SageMaker
  • Solid understanding of vector databases (Milvus, Pinecone, Weaviate) and distributed system design
  • Strong experience in Agile/Scrum, capacity planning, and managing globally distributed teams

🎁 Benefits

  • Base Salary: $150,000–$180,000
  • Annual Performance Bonus
  • Medical, dental, and vision insurance
  • Company-paid life and AD&D
  • Voluntary supplemental insurance and EAP
  • 401(k) with company match and immediate vesting
Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest β€” finding, filtering, and applying while you focus on what matters.

Related Engineering Jobs

See more Engineering jobs β†’