Machine Learning Infrastructure Engineer

We are hiring on behalf of our client a global innovator in fitness and wellness technology. Their mission is to empower people to live fit strong long and happy lives by delivering integrated experiences to millions of members anytime anywhere.

We are looking for a Machine Learning Infrastructure Engineer to join the Personalization team which owns the systems powering content recommendations across the companys digital this role you will design build and maintain low-latency highly scalable services that make real-time personalization possible. You will work hands-on with backend services cloud infrastructure model serving observability and performance optimization partnering closely with ML Engineers API Engineers Platform Engineers and Product Managers to bring ML-powered product features into production.

Key takeaways:

Stack: Python AWS/GCP/Azure Kubernetes Docker REST gRPC Kafka/RabbitMQ/SQS Postgres MySQL DynamoDB Redis CI/CD Terraform Datadog/Grafana/MLflow

Salary: 24 000 PLN - 28 000 PLN gross on the Contract of Employment

Working model: Hybrid - 3 days/week from the office

Location: ul. Grzybowska 60 Warsaw

Recruitment process:

• A call with MOTIFE Recruiter
• Hiring Manager screening
• Coding interview
• Panel interviews with the team (coding architecture and cross-collaboration interviews Hiring Manager meeting)

Responsibilities:

• Design build and maintain Python microservices powering personalized content recommendations.
• Productionize deploy monitor and operate machine learning services in cloud-based production environments.
• Partner with ML Engineers to integrate models into scalable backend services and real-time recommendation workflows.
• Ensure high availability low latency and strong performance through caching load balancing auto-scaling and capacity planning.
• Own and improve personalization services including reliability testability observability scalability and operational readiness.
• Conduct performance tuning profiling and latency optimization for high-traffic recommendation workloads.
• Collaborate with platform teams to use infrastructure tooling and deployment workflows that support fast product iteration.
• Work with Product Managers ML Engineers API Engineers and Data Engineers to launch ML-powered personalization features.

Requirements:

• 3 years of professional software engineering experience and a degree in Computer Science Engineering or a related technical field.
• Strong software engineering fundamentals including data structures algorithms clean code testing and reproducibility.
• Professional experience building backend services in Python; experience with Java Kotlin Go C or C is welcome.
• Experience designing and building RESTful APIs gRPC services or microservices from the ground up.
• Strong experience deploying and managing production services on AWS or GCP or Azure.
• Experience with relational and non-relational databases such as Postgres MySQL DynamoDB or Redis.
• Experience with event-driven architectures and message queues such as Kafka RabbitMQ or SQS.
• Strong debugging profiling and performance tuning skills including latency tracking scalability analysis and production troubleshooting.

What we offer:

• 100% paid medical care
• Multisport
• Creative tax (KUP)
• Home office allowance
• MacBook Pro

Apply now

If this sounds like your next step wed love to hear from you! Please apply via our careers page and submit your CV in English.

Required Experience:

IC