Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- designing, training, and evaluating models for bidding, forecasting, targeting, and outcome optimization across our streaming and CTV advertising platform,
- designing and analyzing A/B tests and online experiments; connecting model performance to revenue and advertiser results, not just offline metrics,
- turning raw campaign, audience, and supply data into robust, reusable features - and helping define them once in a shared feature store instead of rebuilding them per project,
- collaborating with MLOps and Data Engineering teams to get models into production on Vertex AI and staying accountable for how they perform once live,
- working with product owners and business stakeholders to frame problems, size opportunities, and translate model behavior into plain language.
Your profile:
- experience in applying machine learning to real products, with a track record of models that shipped and made a measurable difference,
- strong Python and SQL skills, with fluency in the modern ML stack (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow),
- solid grounding in statistics and experimentation - you can design an A/B test, reason about bias and variance, and know when a result is meaningful,
- experience with large-scale data and cloud ML tooling; Google Cloud and Vertex AI experience are strong advantages,
- clear communication skills - you can explain a model to an engineer and its impact to an executive.
Work from the European Union region and a work permit are required.
Nice to have:- background in adtech, real-time bidding, recommender systems, or marketing/measurement science,
- experience with feature stores, MLOps pipelines, or moving from ad-hoc notebooks to reproducible workflows.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- Experience applying machine learning to real products with measurable impact
- Strong Python skills
- Strong SQL skills
- Fluency with modern ML libraries (scikit-learn, XGBoost, PyTorch, or TensorFlow)
- Solid grounding in statistics and experimentation (A/B test design, bias/variance reasoning)
- Experience with large-scale data and cloud ML tooling
- Clear communication skills to explain models to engineers and executives
- Work from the European Union region and hold a valid work permit
- Experience with Google Cloud and Vertex AI
- Background in adtech, real-time bidding, recommender systems, or measurement science
- Experience with feature stores, MLOps pipelines, and reproducible workflows
Xebia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.
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Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
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Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
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Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.
Xebia Insights
What We Do
We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]
