Middle/Senior AI/ML Engineer

Required for this role

4+ years of experience in Data Science or Analytics roles, with a demonstrable track record of business impact.

A bachelor's degree or higher in Mathematics, Computer Science, Data Science, or another quantitative field.

Strong knowledge of Python, including pandas, NumPy, and Scikit-learn, together with proficiency in SQL.

Practical experience with PyTorch or TensorFlow.

Hands-on experience with supervised and unsupervised learning, feature engineering, model tuning, and evaluation metrics.

Experience deploying machine learning models using AWS SageMaker, AWS Lambda, and Amazon ECS.

Solid understanding of statistical methods, experimental design, and hypothesis testing.

Ability to translate ambiguous business problems into clear technical solutions and data-driven initiatives.

Strong communication skills, including the ability to explain complex findings to non-technical stakeholders.

Your responsibilities

Design and implement predictive and optimization models using classical machine learning, statistical modeling, and deep learning techniques.

Develop models that improve pricing accuracy, lead scoring, and listing quality across the property portal.

Own the full model lifecycle, from feature extraction and development to production deployment on AWS SageMaker, AWS Lambda, and Amazon ECS.

Establish MLOps practices, including CI/CD pipelines for models and production monitoring.

Build evaluation pipelines and support A/B testing frameworks to validate model performance and reliability.

Collaborate with engineering teams to ensure production models meet latency, scalability, and operational requirements.

Monitor model performance, data quality, and drift over time, and contribute to reliable monitoring practices.

Partner with Product, Strategy, and Commercial teams to align project objectives and translate business goals into data-driven solutions.

What you get

Your time off

18 paid vacation days and 10 paid sick days annually

10 Ukrainian public holidays

Maternity and paternity leaves

Marriage and Parenthood Package

Additional leave for major life events

Sabbatical leave opportunities

Learning & growth

Sombra University workshops and internal learning programs

Tech Communities and knowledge sharing sessions

Language courses and workshops

Mentorship opportunities

Health & well-being

Sports compensation or health insurance coverage

Participation in races and marathons

Corporate doctor (telemedicine)

Well-being initiatives and workshops

And even more

Company-provided technical equipment

PE administration and tax support

Internal referral program

IT Club loyalty program

Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we'll reach out to you shortly.

If you don't hear from us within 5 business days, it means we've decided to continue the process with other candidates for this position. Thanks for understanding.