Senior ML Engineer
inDrive
Software Engineering, Data Science
Limassol, Cyprus · United Arab Emirates
Posted on Apr 24, 2025
Senior ML Engineer
, Limassol · · ·
This role focuses on designing and scaling end-to-end machine learning systems that power real-world applications. Ideal for experienced engineers who enjoy solving complex problems with data and collaborating across product and engineering teams.
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.