Senior Machine Learning Engineer Germany

Globaldev Group; Deutschland; On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

20 days of vacation

Top notch equipment

Support from HR team

Job summary

Globaldev Group is seeking a Senior Machine Learning Engineer to design and scale predictive systems for their VIS.X platform. The role involves end-to-end responsibility for high-impact ML initiatives and the opportunity to shape ML architecture and strategy.

Ideal candidates will have 5+ years of experience, strong Python skills, and a proven track record in deploying ML systems. The position promises a supportive environment, competitive benefits, and growth potential as the team expands.

Qualifications

• 5+ years of experience in machine learning with production ownership.
• Proven track record of deploying and maintaining ML systems.
• Solid knowledge of experimentation design and model evaluation.

Responsibilities

• Take ownership of machine learning problems from concept to production.
• Design, build, and deploy predictive models.
• Collaborate with DevOps and Engineering teams for business impact.

Skills

Machine learning experience

Python

Statistics knowledge

MLOps principles

Problem ownership mindset

AdTech experience

Tools

pandas

scikit-learn

PyTorch

TensorFlow

Job description

We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X, a programmatic advertising platform.

You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems.

This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities.

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