MLOps Engineer

Start Date: ASAP / Within 1 Month / Flexible

Work Model: 100% Remote

Contract Type: B2B (160-170 PLN/h + VAT)

Join a dynamic team as a  MLOps / ML Engineer, where you'll help shape scalable machine learning infrastructure in a cloud-native environment. This role offers the opportunity to work with cutting-edge AWS technologies, automate ML workflows, and drive innovation in model deployment, monitoring, and data engineering. 

Responsibilities

• Design and implement scalable ML pipelines using AWS services such as SageMaker, Lambda, and Step Functions.

• Develop and maintain CI/CD workflows for machine learning models using GitHub Actions, GitLab, Jenkins, or CodePipeline.

• Containerize and deploy ML solutions using Docker and Kubernetes across cloud environments.

• Orchestrate ML workflows with SageMaker Pipelines or Kubeflow, ensuring reproducibility and automation.

  
  

Expectations

• Minimum 4 years of experience in MLOps or ML Engineering.

• Strong hands-on expertise with AWS (SageMaker, Lambda, ECR, ECS/EKS, S3, Step Functions).

• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn.

• Experience with Infrastructure as Code tools like Terraform or AWS CloudFormation.

• Familiarity with observability and security tools: CloudWatch, Prometheus, ELK, Datadog, IAM, VPC, KMS, Secrets Manager.

  
  

What We Offer

• Medicover healthcare package

• Multisport card

• Access to an e-learning platform

• Group life insurance