{"id":3454395,"url":"https://alion.io/job/sombra-middlesenior-aiml-engineer","title":"Middle/Senior AI/ML Engineer","company":{"id":57071,"name":"Sombra","domain":"sombrainc.com","url":"https://alion.io/company/sombra","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-21T14:45:48Z","employer_posted_date":null,"last_verified_at":"2026-10-21T14:45:48Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"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.\n\nRequired for this role\n\n4+ years of experience in Data Science or Analytics roles, with a demonstrable track record of business impact.\n\nA bachelor’s degree or higher in Mathematics, Computer Science, Data Science, or another quantitative field.\n\nStrong knowledge of Python, including pandas, NumPy, and Scikit-learn, together with proficiency in SQL.\n\nPractical experience with PyTorch or TensorFlow.\n\nHands-on experience with supervised and unsupervised learning, feature engineering, model tuning, and evaluation metrics.\n\nExperience deploying machine learning models using AWS SageMaker, AWS Lambda, and Amazon ECS.\n\nSolid understanding of statistical methods, experimental design, and hypothesis testing.\n\nAbility to translate ambiguous business problems into clear technical solutions and data-driven initiatives.\n\nStrong communication skills, including the ability to explain complex findings to non-technical stakeholders.\n\nYour responsibilities\n\nDesign and implement predictive and optimization models using classical machine learning, statistical modeling, and deep learning techniques.\n\nDevelop models that improve pricing accuracy, lead scoring, and listing quality across the property portal.\n\nOwn the full model lifecycle, from feature extraction and development to production deployment on AWS SageMaker, AWS Lambda, and Amazon ECS.\n\nEstablish MLOps practices, including CI/CD pipelines for models and production monitoring.\n\nBuild evaluation pipelines and support A/B testing frameworks to validate model performance and reliability.\n\nCollaborate with engineering teams to ensure production models meet latency, scalability, and operational requirements.\n\nMonitor model performance, data quality, and drift over time, and contribute to reliable monitoring practices.\n\nPartner with Product, Strategy, and Commercial teams to align project objectives and translate business goals into data-driven solutions.\n\nWhat you get\n\nYour time off\n\n18 paid vacation days and 10 paid sick days annually\n\n10 Ukrainian public holidays\n\nMaternity and paternity leaves\n\nMarriage and Parenthood Package\n\nAdditional leave for major life events\n\nSabbatical leave opportunities\n\nLearning & growth\n\nSombra University workshops and internal learning programs\n\nTech Communities and knowledge sharing sessions\n\nLanguage courses and workshops\n\nMentorship opportunities\n\nHealth & well-being\n\nSports compensation or health insurance coverage\n\nParticipation in races and marathons\n\nCorporate doctor (telemedicine)\n\nWell-being initiatives and workshops\n\nAnd even more\n\nCompany-provided technical equipment\n\nPE administration and tax support\n\nInternal referral program\n\nIT Club loyalty program\n\nCompany events and volunteering initiatives\n\nBefore you apply\n\nOur recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.\n\nIf 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. 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