ML Operations Bridge Engineer - Remote

Overview

Stord is seeking a skilled ML Operations Bridge Engineer who will work at the intersection of data science and software engineering to help deploy ML features rapidly and reliably.

In Short

• Bridge the gap between data science and production engineering.
• Deploy trained models to production APIs.
• Build data pipelines and monitoring systems.
• Work on features like delivery time estimation and demand forecasting.
• Shape MLOps practices and tooling choices.
• Collaborate with cross-functional teams.
• Implement A/B testing frameworks for model comparison.
• Optimize inference costs across cloud platforms.
• Document and evangelize MLOps best practices.
• Contribute to building ML infrastructure from the ground up.

Requirements

• Strong Python experience (3+ years) with ML model deployment.
• Proficiency in TypeScript/JavaScript (2+ years).
• Experience in MLOps and data engineering.
• Hands-on experience with cloud platforms (GCP, AWS, Azure).
• Expertise in version control using Git/GitHub.
• SQL proficiency for complex queries.
• Strong communication and production mindset.
• Self-directed and agile in learning new tools.
• Pragmatic approach to problem-solving.

Benefits

• Opportunity to impact a small, ambitious team.
• Work with cutting-edge ML technologies.
• Flexible work environment.
• Collaborative team culture.
• Access to top-tier investors and resources.