MLOps Engineer — Build Scalable Cloud ML Platforms

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

Job summary

Cognism is seeking an outstanding MLOps Engineer to join our Data team in a hands-on role focused on building and operationalizing ML services on cloud platforms. You will design architectures on AWS/GCP/Azure, implement MLOps best practices, collaborate with data scientists, and ensure production ML workflows are reliable, scalable, and secure.

Requirements include strong Python, IaC (Terraform), containerization (Docker/Kubernetes), and CI/CD experience with GitHub Actions or CircleCI; fluent

Qualifications

• Must have strong understanding of MLOps concepts and cloud platforms.
• Proficient in Python and data engineering fundamentals.
• Experience with IaC, CI/CD pipelines, and containerization.
• Fluent in English and able to work collaboratively in a team.

Responsibilities

• Build and manage automation pipelines to operationalize ML platforms and deployments.
• Design secure, scalable cloud architectures (AWS/GCP/Azure) and pipelines.
• Contribute to MLOps best practices within the team.

Skills

MLOps concepts

Python programming

Team collaboration

English communication

Cloud fundamentals

CI/CD practices

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Terraform

GitHub Actions

FastAPI

CircleCI

Job description

Cognism is seeking an outstanding MLOps Engineer to join our Data team in a hands-on role focused on building and operationalizing ML services on cloud platforms. You will design architectures on AWS/GCP/Azure, implement MLOps best practices, collaborate with data scientists, and ensure production ML workflows are reliable, scalable, and secure.

Requirements include strong Python, IaC (Terraform), containerization (Docker/Kubernetes), and CI/CD experience with GitHub Actions or CircleCI; fluent