ML Engineer
ML Engineer
Posted on :
05-09-2025
Employer Active
1 Vacancy
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Job Description
Simulmedia is seeking an experienced ML Engineer to join our growing Data Science team and help bridge the gap between research and this role you will play a key part in turning experimental work into reliable long-term solutions that deliver value at scale. As an ML Engineer you will work closely with data scientists and data engineers to transform prototypes analyses and models into scalable maintainable and efficient production systems.
This position is based in either Kyiv or Lviv Ukraine with team members across major cities including Kyiv Lviv and Kharkiv. The team primarily works remotely with occasional in-person meetings in the Kyiv office.
Responsibilities
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.
Qualifications
Bachelors or Masters 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.
Bonus points for
Familiarity with AWS cloud services such as S3 Kubernetes Lambda and Redshift for data and ML workflows.
Data ETL pipelines
Understanding MLOps practices (model deployment monitoring CI/CD).
Knowledge of machine learning workflows and ability to work with ML frameworks (e.g. scikit-learn TensorFlow PyTorch).
Employment Type
Full-Time
Key Skills
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