Senior AI Platform Engineer – MLOps & Production

kcura; Illinois; Hybrid; USD 103,000 - 155,000; Full time

Job summary

Relativity is seeking an Advanced AI Engineer to bridge core engineering and data science, building scalable ML platforms and automated pipelines. You will own production ML lifecycles from training to deployment, working with cross-functional teams to elevate reliability and security.

You will mentor junior engineers, contribute to design decisions, and explore cutting-edge AI technologies to advance Relativity's data intelligence platform across hybrid cloud environments.

Qualifications

• 3+ years of professional software engineering experience, with at least 1 year in ML/AI or big data environments.
• Proficiency in Python, Java, or C#.
• Production experience using Docker.
• Experience deploying cloud-based solutions on AWS, Azure, or GCP.
• Experience using infrastructure-as-code tools such as Terraform or Pulumi.
• Familiarity with workflow orchestration platforms such as Prefect, Airflow, or similar technologies.
• Understanding of Kubernetes and Helm fundamentals.
• Experience deploying, monitoring, and troubleshooting ML models in production.
• Ability to collect and analyze metrics related to model reliability and algorithm health.
• Strong collaboration and communication skills with cross-functional stakeholders.

Responsibilities

• Contribute to the design and implementation of ML/AI platforms focusing on scalability, reliability, security, and standardized GenAI workflows.
• Partner with data scientists, product managers, security teams, and data engineers to deliver ML solutions.
• Implement and improve CI/CD pipelines for ML models and data workflows using containers and IaC.
• Build and enhance automated model training, deployment, and lifecycle management processes.
• Prototype and evaluate emerging MLOps technologies to improve efficiency and cost optimization.
• Deploy, monitor, tune, and troubleshoot production ML models.
• Establish and track health, performance, reliability, and cost metrics for AI systems.
• Participate in code reviews and design reviews; contribute to implementation efforts.
• Mentor junior engineers and share best practices across teams.
• Continuously learn and apply new technologies to improve the AI platform.

Skills

Python

Java

C#

Docker

AWS

Terraform

Pulumi

Kubernetes

CI/CD

MLOps

Big data

Communication

Education

Bachelor's in CS

Master's degree

Tools

MLflow

Kubeflow

Airflow

Spark

TensorFlow

PyTorch

Job description

Relativity is seeking an Advanced AI Engineer to bridge core engineering and data science, building scalable ML platforms and automated pipelines. You will own production ML lifecycles from training to deployment, working with cross-functional teams to elevate reliability and security.

You will mentor junior engineers, contribute to design decisions, and explore cutting-edge AI technologies to advance Relativity's data intelligence platform across hybrid cloud environments.