We’re looking for a Middle/Senior AI/ML Engineer to join a data-driven digital product used by millions of users across the MENA region. You’ll build predictive and optimization models that improve pricing accuracy, lead scoring, and data quality, taking them from feature development and evaluation to AWS deployment and monitoring.

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.