Senior ML Operations Engineer

Ukraine. Spain. Poland. Portugal. RomaniaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSDockerPythonSQLElasticSearchGCPJavaKubeflowKubernetesMLFlowPyTorchApache KafkaAzureFastAPIGrafanaPrometheusRedisNosqlTensorflowscikit-learn

Requirements

  • Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred
  • 5+ years of hands-on software development experience with Python
  • 4+ years of experience designing and building distributed software systems and architectures
  • 3+ years of hands-on experience deploying and operating Machine Learning services in production
  • Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance
  • Experience in cloud-native stack
  • Practical understanding of containerization technologies such as Kubernetes and Docker
  • Demonstrated experience with SQL and NoSQL database design and implementation
  • Ability to decompose complex problems into iterative, well-defined solutions
  • Strong problem-solving abilities
  • Strong communication and collaboration skills
  • Ability to be a team player who can also work independently

Responsibilities

  • Support teams building and deploying AI-driven solutions
  • Help teams overcome common challenges in ML development, deployment, and support lifecycle
  • Serve as a force multiplier for development teams by creating golden paths
  • Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment
  • Provide mentorship, technical guidance, and perform code reviews for team members
  • Design and deliver on projects end-to-end with little to no guidance
  • Support the vision and values of the company through role modeling
  • Participate in various cross-functional company initiatives and projects
  • Contribute to strategic planning
  • Evaluate frameworks, vendors, and tools to optimize processes and costs
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