Senior AI Platform Engineer - ML Ops & Cloud

Relativity; Chicago (IL); On-site; USD 103,000 - 155,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentives

Paid time off (DTO)

Job summary

Relativity in Chicago, IL, is seeking an Advanced AI Engineer to bridge core engineering and data science, shaping scalable ML/AI platforms and automated training pipelines. You will deploy secure, production-grade models and partner with teams to drive innovation.

The role emphasizes containerized deployments, IaC using Terraform or Pulumi, and orchestration with Kubernetes, Helm, and Airflow. A strong background in ML lifecycle tooling is required.

Qualifications

• 3+ years of professional software engineering experience.
• At least 1 year in ML/AI or big data environments.
• Proficiency in Python, Java, or C#.
• Production experience using Docker.

Responsibilities

• Design and implement scalable ML/AI platforms.
• Collaborate with data scientists, product managers, security, and data engineers.
• Develop and improve CI/CD pipelines for ML models and data workflows.

Skills

Programming languages

Collaboration

Education

Bachelor's degree in CS/Engineering

Master’s degree (preferred)

Tools

Docker

Kubernetes

Terraform

Pulumi

Prefect/Airflow

Helm

Job description

Relativity in Chicago, IL, is seeking an Advanced AI Engineer to bridge core engineering and data science, shaping scalable ML/AI platforms and automated training pipelines. You will deploy secure, production-grade models and partner with teams to drive innovation.

The role emphasizes containerized deployments, IaC using Terraform or Pulumi, and orchestration with Kubernetes, Helm, and Airflow. A strong background in ML lifecycle tooling is required.