Start Date: ASAP / Within 1 Month / Flexible
Work Model: 100% Remote
Contract Type: B2B (160-170PLN/h + VAT)
Join a dynamic team as a MLOps / ML Engineer, where youll 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 4years 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
