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Role Overview:
- You will build the infrastructure and services that bring ML and generative AI products into production.
- This is a hands-on senior role combining software engineering, MLOps, and cloud infrastructure.
Key Responsibilities:
- Develop tooling, platforms, APIs, and services for the full ML/AI lifecycle.
- Build evaluation metrics, testing frameworks, and production services.
- Design scalable systems using modern engineering and MLOps practices.
Requirements:
- 6+ years deploying ML/AI solutions in production.
- Strong Python skills and experience with Docker, Kubernetes, and RESTful APIs.
- Excellent communication and cross-functional collaboration abilities.
Benefits:
- Competitive salary, bonuses, equity, and comprehensive healthcare.
- 401(k) with 3% match, paid parental leave, and monthly technology allowance.
- Fully remote role with opportunities for professional growth.
Partner Company
This company develops ML and AI solutions for production environments. They foster a culture of thoughtful engineering, collaboration, and rapid learning.