Senior Machine Learning Engineer

🕒 March 13

🌐 Ukraine, Poland, +1 more countries – Remote

🇺🇦 Ukraine – Remote 🇵🇱 Poland – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Globaldev Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 12 years

💼 Consulting

📦 Logistics

☁️ SaaS

Consulting • Logistics • SaaS

Globaldev Group is an international company that specializes in providing IT outsourcing and software development services. They focus on assisting businesses in building and managing their engineering teams, offering expertise in various modern technologies and development practices to ensure efficient and effective project delivery.

📋 Description

• 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

🎯 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

🏖️ Benefits

• 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;