MLOps Engineer: Build Scalable AI Pipelines

Limelight Health; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Job summary

Cognism is seeking an outstanding MLOps Engineer to join the Data team. You will optimize ML services, advise on best practices, and build tooling that drives reliable ML workflows. You will lead MLOps initiatives during platform implementation and collaborate with Data Scientists to deploy models.

Key responsibilities include building automation pipelines, designing training/deployment infrastructure, and enforcing best practices across teams to ensure reliability and scalability of ML services.

Qualifications

• Strong cloud architecture and AWS fundamentals.
• Proficient in Python and ML deployment workflows.
• Experience with Terraform, CDK, or similar IaC tooling.
• CI/CD experience with GitHub Actions or CircleCI.
• Production ML model deployment and monitoring.
• Fluent English and collaborative skills.

Responsibilities

• Build and manage automation pipelines to operationalize ML platform
• Design model training and deployment infrastructure
• Design and implement secure, reliable AWS architectures
• Enforce MLOps best practices across teams
• Bridge AI, Engineering, and DevSecOps for ML deployment
• Work closely with Data Scientists on tooling and model integration
• Monitor and maintain production critical ML services

Skills

AWS

MLOps

Python

Terraform

CI/CD

Docker

Kubernetes

Data Engineering

ML Model Deployment

English

Tools

GitHub Actions

CircleCI

CDK

IaC tooling

Job description

Cognism is seeking an outstanding MLOps Engineer to join the Data team. You will optimize ML services, advise on best practices, and build tooling that drives reliable ML workflows. You will lead MLOps initiatives during platform implementation and collaborate with Data Scientists to deploy models.

Key responsibilities include building automation pipelines, designing training/deployment infrastructure, and enforcing best practices across teams to ensure reliability and scalability of ML services.