Technical Lead, MLOps & ML Platform (Equity Eligible)

NxT Level; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

NxT Level is seeking a Technical Lead Manager for Machine Learning Operations to own the Data Science platform and drive a scalable ML infrastructure roadmap. You will lead a hands-on, high-performance team focused on ML infrastructure, MLOps, and embedded data science, partnering with data scientists to ensure production-ready forecasting, routing, pricing, and supply chain ML systems.

You’ll guide architecture, code reviews, and engineering standards while remaining technically active.

Qualifications

• Bachelor’s degree with 6+ years of Machine Learning Engineering experience or Master’s with 4+ years of ML Engineering experience.
• Experience leading or managing high-velocity ML platform, MLOps, or ML infrastructure teams.
• Strong hands-on experience building production ML systems.
• Experience with ML platforms including training infrastructure, serving infrastructure, feature stores, orchestration, monitoring, and deployment pipelines.
• Strong Python experience.

Responsibilities

• Lead and grow a team of engineers across ML infrastructure, MLOps, and embedded data science project work.
• Own the 1–2 year roadmap for improving the company’s ML platform and operations research infrastructure.
• Standardize and improve training infrastructure, serving infrastructure, deployment pipelines, monitoring, permissions, environments, and service operations.
• Embed engineers into major science initiatives across forecasting, network orchestration, pricing, routing, and supply chain optimization.
• Help ensure data science projects are production-ready from day one.
• Build templates, patterns, and platform standards that help new ML systems get up and running quickly.
• Partner closely with data science, engineering, developer experience, and platform teams.
• Drive adoption of AI-assisted and agentic development workflows across the Data Science organization.
• Set standards for using AI in EDA, model iteration, ML/OR methodology, and development velocity.
• Review designs, write code, improve technical quality, and raise the bar for production ML systems.
• Participate in the on-call rotation for production data science systems

Skills

Python

Leadership

Communication

MLOps

Education

Bachelor’s degree in a related field

Master’s degree in a related field

Tools

AWS

Redshift

Databricks

Snowflake

Ray

Flink

Feast

Job description

NxT Level is seeking a Technical Lead Manager for Machine Learning Operations to own the Data Science platform and drive a scalable ML infrastructure roadmap. You will lead a hands-on, high-performance team focused on ML infrastructure, MLOps, and embedded data science, partnering with data scientists to ensure production-ready forecasting, routing, pricing, and supply chain ML systems.

You’ll guide architecture, code reviews, and engineering standards while remaining technically active.