Senior MLOps ML Platform Engineer

About the Position

We are excited to announce a new opportunity for a Senior MLOps/ML Platform Engineer to join our team at Zoolatech, a leading European fashion and retail company. This role is pivotal in our newly launched ML initiative, where you will be instrumental in turning cutting-edge machine learning ideas into production-ready solutions.

Responsibilities

• Design, build, and validate Machine Learning Proofs of Concept (POCs) across multiple use cases.
• Collaborate with Applied Scientists, ML Engineers, and Platform teams to deliver end-to-end ML workflows.
• Implement and operate ML pipelines for training, inference, deployment, and monitoring.
• Run and optimize ML workloads on Kubernetes, including GPU-based and multi-tenant environments.
• Evaluate and integrate ML platform tools and infrastructure into a shared, scalable platform.
• Support the early production rollout and integration into the existing ecosystem.
• Define best practices, governance, and onboarding standards for teams adopting the platform.
• Ensure reliability, security, and performance of ML systems in production.

Requirements

• Strong experience building and operating production-grade ML platforms or large-scale data/ML systems on cloud infrastructure.
• Solid background in distributed systems, including containers (Docker), orchestration (Kubernetes), and streaming/batch processing (Kafka, Spark, Flink, etc.).
• Experience designing and operating scalable, low-latency, or high-throughput systems.
• Strong understanding of reliability, monitoring, and safe deployment practices (SLOs, incident response, capacity planning).
• Experience embedding security, IAM, and governance into platform workflows.
• Ability to evaluate, integrate, and operate multiple platform components into a coherent ML platform.
• Strong communication skills, with the ability to produce architecture designs, POC findings, and technical recommendations.
• Experience with Kubernetes-first ML systems, including:
  • Running ML workloads on Kubernetes (EKS preferred)
  • Multi-tenant and GPU-based environments
• Experience with enterprise ML platforms (e.g., Databricks, Domino, ClearML).
• Experience with feature platforms/feature stores (Feast, Hopsworks, etc.).
• Familiarity with governance and compliance in regulated ML environments.
• Experience onboarding teams to shared platforms.
• FinOps awareness for ML infrastructure costs.
• Focus on developer experience and platform enablement (templates, golden paths, onboarding flows).

Technologies

• Python
• Kubernetes
• Docker
• Kafka
• Spark
• Flink
• ML platforms
• Feature platforms
• Governance
• Compliance
• FinOps

We Offer

• Competitive compensation package
• Paid vacation
• Sick days
• Floating holidays
• Sport/Insurance
• English classes
• Charity training

About the Company

Join our team and discover what it’s like to work with us at Zoolatech. We are committed to fostering a collaborative and innovative environment where your contributions will shape the future of machine learning in the fashion and retail industry.

Location

• City: Other
• Country: Central Europe

Contact

If you are interested in this exciting opportunity, please get in touch with us via:

• Email
• Skype
• Telegram
• WhatsApp

Attach your CV when you contact us.