Tech Lead, ML Infrastructure

NBCUniversal

Tech Lead overseeing MLOps engineers and data scientists at NBCUniversal. Leading machine learning applied research and infrastructure buildout in a collaborative environment.

Posted 6/30/2026full-timeRemote • New York • MaliSenior💰 $245,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI/ML infrastructure, overseeing cloud spend, and ensuring effective resource allocation while fostering high-performing teams. Proficient in translating technical requirements and collaborating with machine learning engineers throughout the entire machine learning lifecycle.

Highest-signal resume keywords

Tech Lead ExperienceAI/ML Infrastructure ManagementCloud Spend OwnershipMachine Learning Lifecycle FluencyTeam Development and Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning LifecycleData ProvenanceDistributed Training OrchestrationStorage OrchestrationPythonGitUnix Shell

Soft Skills

Attention to DetailConscientiousnessService Mindset

Tools & Technologies

JiraConfluenceSlackGit ServerData PlatformObservability Dashboard

Certifications & Qualifications

Undergraduate Degree in Computer Science

Industry Keywords

RoboticsSmart GridsPrecision AgricultureGame DevelopmentAerospace

Tech Stack

Tools & technologies

CloudPythonUnix

About the role

Key responsibilities & impact

Steward the end-to-end planning, execution, and delivery of the data and training infrastructure for the organization.
Act as the primary point of contact for the team that serves infrastructure to multiple other machine learning teams.
Own the cloud spend and implement cost-tracking, resource allocation and lifecycle management.
Service mindset in making the day-to-day of ML engineers smooth, balancing engineering rigor with ease of use.

Requirements

What you’ll need

Undergraduate degree in Computer Science.
Proven experience as a Tech Lead in an AI/ML infrastructure team.
Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
Prior experience having a team of around 7 direct reports, establishing ways of working, and developing them to be high performing.
High attention to detail and conscientiousness.
Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
Fluency with the entire machine learning lifecycle, including storage orchestration, data provenance, distributed training orchestration and deployment.
Familiarity with Python, Git and the Unix shell.
Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, a data platform, and observability dashboard.

Benefits

Comp & perks

medical, dental and vision insurance
401(k)
paid leave
tuition reimbursement
a variety of other discounts and perks