Senior MLOps Engineer

About the Position

We're seeking a Senior MLOps Engineer with 5+ years of experience to join our European Online Fashion & Beauty Retailer team in Wroclaw, Poland. This role focuses on building robust ML workflows and scalable ML systems.

Responsibilities

• Design and build foundational ML platform components, including systems for data access, feature management, model training, deployment, and inference at scale.
• Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way.
• Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams.
• Implement core abstractions and APIs to standardize how ML workflows are executed - from feature creation to model rollout.
• Build and maintain observability and reliability tooling for ML systems - including telemetry pipelines, model health checks, and automated retraining triggers.
• Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery.
• Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default.

Requirements

• 5+ years of experience in Machine Learning Engineering or MLOps roles
• Solid Python development skills
• Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker
• Familiarity with ML observability tools such as Grafana, custom metric logging, model drift detection, and alerting mechanisms
• Proficiency in building CI/CD pipelines for ML systems with automated testing and validation
• Experience with Infrastructure-as-Code tools (CloudFormation, YAML)
• Understanding of secure and compliant deployment of ML pipelines
• Excellent debugging and problem-solving skills
• Experience with OpenAI API usage in production, containerization, and Kubernetes orchestration is highly valued

We Offer

• Competitive compensation
• Paid Vacation
• Sick Days
• Sport/Insurance
• English Classes
• Charity Training

About the Company

Discover what it’s like to work with us. We are a leading European Online Fashion & Beauty Retailer committed to innovation and excellence in machine learning and data science.

Location

Wroclaw, Poland