We are looking for a Senior Machine Learning Engineer to 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 ownershipProven track record of deploying and maintaining ML systems in real-world environmentsStrong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow)Solid knowledge of statistics, experimentation design, and model evaluationExperience working with large-scale datasets and performance-critical systemsUnderstanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines)Strong problem ownership mindset - ability to independently structure ambiguous challengesAbility to translate business trade-offs into modeling decisionsExperience in AdTech, marketplaces, or auction-based systems is a plusExperience working in high-scale, real-time systems is a plusResponsibilities:Take ownership of machine learning problems from concept to productionDesign, 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, reliabilityCollaborate closely with DevOps, Product, Engineering teams to align ML with business impactQuantify model impact on revenue, margin, and performance KPIsContribute to building our long-term ML architecture and best practicesWhat 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;
We are looking for a Senior Machine Learning Engineer to 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;
Globaldev Group is a team of professionals specializing in creating engineering teams for technological businesses for the Western Europe, Israel, USA. Only long-term product teams for EU with investments and a modern stack of technologies.We set up the company in 2010 in Kharkiv. In 2017 we opened the office in Berlin. Currently, there are 220 of us and we are constantly growing.Now in 2022 we have development hubs in Israel, Ukraine, Portugal and Poland.If you’re interested in joining the team and taking part in decision making that will affect the product and business – let us know!
Globaldev Group is a team of professionals specializing in creating engineering teams for technological businesses for the Western Europe, Israel, USA. Only long-term product teams for EU with investments and a modern stack of technologies.
We set up the company in 2010 in Kharkiv. In 2017 we opened the office in Berlin. Currently, there are 220 of us and we are constantly growing.
Now in 2022 we have development hubs in Israel, Ukraine, Portugal and Poland.
If you’re interested in joining the team and taking part in decision making that will affect the product and business – let us know!
