TL;DR

Senior MLOps Engineer (Python): Building and scaling a shared Machine Learning platform for a large-scale retail ecosystem with an accent on MLOps infrastructure, deployment pipelines, and platform reliability. Focus on designing reusable ML capabilities, optimizing production-grade workloads on Kubernetes, and enabling seamless integration across distributed systems.

Location: Must be based in Eastern Europe

Company

Zoolatech is an outsourcing company providing engineering services for high-scale products.

What you will do

  • Support and contribute hands-on to multiple ML platform proof-of-concepts.
  • Evaluate and implement platform capabilities including GPU training, real-time/batch inference, and orchestration.
  • Analyze performance, scalability, and integration with existing large-scale systems.
  • Contribute to key architectural decisions including tooling and build vs. buy strategies.
  • Support early production rollout and define platform governance standards.
  • Enable onboarding of product teams onto the shared ML platform.

Requirements

  • Location: Must be based in Eastern Europe
  • 5+ years of experience building production-grade ML or large-scale data systems on cloud platforms.
  • Strong proficiency in distributed systems, specifically Docker and Kubernetes.
  • Experience with stream or batch processing systems like Kafka, Spark, or Flink.
  • Proven ability to design scalable, low-latency systems in production environments.
  • Strong understanding of reliability, monitoring, and safe deployment practices.

Nice to have

  • Experience running ML workloads on Kubernetes using GPU or multi-tenant setups.
  • Familiarity with enterprise ML platforms like Databricks.
  • Experience in platform-level infrastructure cost optimization and developer onboarding.

Culture & Benefits

  • Paid vacation and sick leave policies.
  • Floating holidays and support for charitable initiatives.
  • Compensation for sports and medical insurance.
  • Budget for professional training and learning opportunities.
  • Company-provided English classes.