Senior MLOps

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New York / $200000 - $240000 annum

INFO

Salary
SALARY:

$200000 - $240000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

Senior MLOps Engineer
Location: United States (NYC, Austin, San Francisco preferred)
Remote: Hybrid (2-3 days on-site in major hubs) or Full Remote (US-based
Salary: Competitive base salary + equity
Visa: No sponsorship

Company

High-growth Series B AI startup transforming one of the world's largest and least digitized industries. The company builds AI-powered platforms and autonomous agents used by thousands of professionals in real-world operational environments. Backed by top-tier venture capital firms, the organization is entering a major scale-up phase, deploying production-grade AI systems across complex workflows and large enterprise customers.

The Role

  • Design and manage infrastructure for distributed model training using modern cloud and orchestration tools.
  • Deploy and operate machine learning models using Docker, Kubernetes, ECS, and scalable serving frameworks.
  • Integrate ML workflows into CI/CD pipelines to support rapid experimentation and reliable deployment.
  • Build and maintain robust data and ML pipelines using orchestration tools such as Prefect or Airflow.
  • Implement experiment tracking, observability, and monitoring across the full ML lifecycle.

Desired Profile

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.
  • 5+ years of experience in MLOps or ML Platform Engineering, including large-scale production deployments.
  • Strong expertise with AWS cloud infrastructure, Docker, Kubernetes, and modern MLOps tooling.
  • Hands-on experience managing GPU/CPU workloads for Computer Vision, NLP, or LLM-based systems.
  • Strong communication skills and ability to operate autonomously in a fast-paced startup environment.

CONTACT

Guillian Eller

Business Manager - Data & Marketing Analytics

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