ML Engineer at Simulmedia

Lviv, Lviv, Ukraine

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

N/AIndustries

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

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

Skills

Key technologies and capabilities for this role

PythonMachine LearningData PipelinesModel DeploymentSoftware EngineeringTestingAutomationVersion ControlMonitoringTroubleshooting

Questions & Answers

Common questions about this position

What is the work location and remote policy for this role?

The 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.

What are the required technical skills for this ML Engineer position?

Required skills include proficiency in Python for developing clean, maintainable production-ready code, proficiency in SQL and relational databases for large-scale datasets, and solid understanding of software engineering best practices like version control, testing, and containerization.

What is the salary or compensation for this role?

This information is not specified in the job description.

What are the key qualifications and experience needed?

Candidates need a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field, plus 7+ years of professional experience in Data Science Engineering or software engineering with significant data science workflows.

What working hours are required for this position?

The role requires the ability to work 11 am - 8 pm EEST and comfortable communicating with U.S.-based colleagues.

Simulmedia

Automated platform for TV advertising optimization

About Simulmedia

Simulmedia operates in the TV advertising market, providing an automated platform that helps brands, advertising agencies, TV networks, and data providers manage their advertising campaigns. The platform integrates all aspects of TV advertising, allowing users to set goals, execute campaigns, and measure results in one place. It uses patented technology to predict audience viewing habits and identify optimal ad placements, making campaigns more precise and scalable. Simulmedia differentiates itself from competitors by offering real-time performance dashboards that enable advertisers to track campaign effectiveness and make quick adjustments for better results. The company's goal is to enhance the efficiency of TV advertising, helping clients achieve their business objectives, whether that involves driving performance or increasing brand awareness.

New York City, New YorkHeadquarters

2008Year Founded

$84.9MTotal Funding

SERIES_ECompany Stage

Data & Analytics, ConsultingIndustries

51-200Employees