Senior Machine Learning Engineer

Globaldev Group; Freiburg im Breisgau; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

20 vacation days

Top equipment

HR team support

Accounting services

Zusammenfassung

Globaldev Group is seeking a Senior Machine Learning Engineer to design, own, and scale predictive systems powering VIS.X, a programmatic advertising platform.

You will take end-to-end responsibility for high-impact ML initiatives such as pricing optimization, bid prediction, and performance forecasting, translating complex business problems into robust, production-grade ML solutions while shaping our AI strategy and architecture.

Qualifikationen

• 5+ years of experience in machine learning with production ownership.
• Proven track record deploying ML systems in real environments.
• Strong statistics, experimentation design, and model evaluation knowledge.
• Experience with large-scale datasets and performance-critical systems.
• Understanding of MLOps, monitoring, CI/CD, retraining pipelines.
• Able to translate business trade-offs into modeling decisions.

Aufgaben

• Take ownership of ML problems from concept to production.
• Design, build, and deploy predictive models (pricing, bidding, forecasting).
• Develop scalable feature engineering and data pipelines.
• Define experimentation frameworks (A/B testing, offline validation).
• Ensure production-grade MLOps: monitoring and drift detection.
• Collaborate with DevOps, Product, Engineering to align ML with impact.
• Quantify model impact on revenue, margins, and KPIs.
• Contribute to long-term ML architecture and best practices.

Kenntnisse

Python

Pandas

Scikit-learn

PyTorch

TensorFlow

MLOps

A/B testing

Production ML

Jobbeschreibung

We are looking for aSenior Machine Learning Engineerto design, own, and scale predictive systems that power VIS.X - 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;