Senior ML Engineer

Responsibilities

• Design, build, and deploy machine learning models in production.
• Work with large-scale structured and unstructured datasets: collection, cleaning, preprocessing.
• Develop end-to-end ML pipelines: feature engineering, training, evaluation, inference.
• Collaborate closely with software engineers, data analysts, and product managers.
• Evaluate different approaches, drive architectural decisions, and design A/B experiments.
• Monitor and maintain ML systems post-deployment: model drift, retraining, performance metrics.

Qualifications

• 3 to 5+ years of experience in Machine Learning, Data Science, or ML Engineering.
• Strong Python skills and hands-on experience with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
• Experience with production-grade ML systems: MLOps, CI/CD, Docker, monitoring.
• Solid understanding of ML algorithms, model evaluation, and statistical principles.
• Familiarity with data storage systems (SQL, NoSQL, Data Lakes, S3, BigQuery).
• Proven track record of deploying and maintaining ML systems in production.
• Strong communication skills and experience in cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Data Science, or a related field.

Conditions & Benefits

• Stable salary, official employment.
• Health insurance.
• Hybrid work mode and flexible schedule.
• Relocation package offered for candidates from other regions.
• Access to professional counseling services including psychological, financial, and legal support.
• Discount club membership.
• Diverse internal training programs.
• Partially or fully paid additional training courses.
• All necessary work equipment.