Globaldev Group
Senior Machine Learning Engineer
Remote Machine Learning Engineer role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Ukraine
Role overview
Senior Machine Learning Engineer
Requirements and responsibilities
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Requirements:
- 5+ years of experience in machine learning / applied ML roles with production ownership
- Proven track record of deploying and maintaining ML systems in real-world environments
- Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)
- Solid knowledge of statistics, experimentation design, and model evaluation
- Experience working with large-scale datasets and performance-critical systems
- Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)
- Strong problem ownership mindset - ability to independently structure ambiguous challenges
- Ability to translate business trade-offs into modeling decisions
- Experience in AdTech, marketplaces, or auction-based systems is a plus
- Experience working in high-scale, real-time systems is a plus
Responsibilities:
- Take ownership of machine learning problems from concept to production
- Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting)
- Develop scalable feature engineering and data pipelines for large-scale datasets
- Define experimentation frameworks (A/B testing, offline validation, model comparison)
- Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability
- Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact
- Quantify model impact on revenue, margin, and performance KPIs
- Contribute to building our long-term ML architecture and best practices
What we offer:
- Comfortable environment, challenging tasks and a long-term interesting project;
- Covered 20 days of vacation;
- Working with top notch equipment;
- Bookkeeping by a professional accountant;
- Help and support from our caring HR-team;
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