Simulmedia

Machine Learning Engineer

Simulmedia

full-time

Posted on:

Origin:  • 🇺🇦 Ukraine

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSCloudETLKubernetesPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Turn experimental ML research and prototypes into scalable, maintainable production systems.
  • Position based in Kyiv or Lviv, Ukraine; team primarily works remotely with occasional in-person meetings in the Kyiv office.
  • Collaborate closely with data scientists to turn research and prototypes into reliable, production-ready solutions.
  • Develop and maintain scalable pipelines that power data, feature, and model workflows across the organization.
  • Ensure solutions are efficient, reproducible, and maintainable, supporting long-term use and growth.
  • Monitor and troubleshoot deployed systems, optimizing performance and reliability over time.
  • Apply software engineering best practices, including testing, automation, version control, and deployment processes.
  • Contribute to a growing team, helping to improve workflows and support the adoption of data-driven solutions.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
  • 7+ years of professional experience in Data Science Engineering, or in software engineering roles with significant exposure to data science workflows.
  • Proficiency in Python, with experience developing clean, maintainable, and production-ready code.
  • Proficiency in SQL and relational databases, for working with large-scale datasets.
  • Solid understanding of software engineering best practices, including version control, testing, and containerization.
  • Ability to troubleshoot complex problems, take ownership of solutions, and quickly learn new tools or technologies.
  • Strong collaboration and communication skills, able to work effectively with a growing Data Science team.
  • Comfortable communicating and coordinating with U.S.-based colleagues.
  • Ability to work 11 am - 8 pm EEST.