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:- driving the design, refinement, and evaluation of ML scoring models (e.g., CTR, CVR, and RoAS), integral to core bidding logic,
- design architecture of model strategies for complex solutions integrating user, product, and placement signals, ensuring readiness for high-throughput and low-latency environments,
- collaborating with engineering and business stakeholders to translate strategic goals into measurable modeling outcomes and technical roadmaps,
- providing technical leadership and quality assurance for Data Science workstreams within the project scope to ensure alignment with production standards.
- extensive hands-on experience in designing, training, and improving Deep Learning models for business-critical production use cases,
- proven expertise in deep learning frameworks such as PyTorch or TensorFlow, as well as strong practical knowledge of Pandas and NumPy,
- advanced SQL skills, preferably including analytical SQL used in large-scale data environments,
- strong experience with public cloud infrastructure, preferably Google Cloud Platform, including ML oriented services such as Vertex AI and Vertex Pipelines,
- proven ability to lead end-to-end model development, from problem framing and feature design to evaluation and production handoff,
- strong engineering foundations, including writing production-level, testable, and documented Python code, with familiarity with CI/CD practices,
- ability to mentor other Data Scientists and raise modeling standards across the team,
- relevant academic degree or extensive professional experience in a STEM field (e.g. Computer Science, Mathematics, Mathematical Statistics, Quantitative Methods, or Physics),
- openness to on-site workshops max 1-3 per quarter in Warsaw.
Work from the European Union region and a work permit are required.
Nice to have:- experience in developing ML models for low-latency online applications,
- experience within the advertising or marketing domains,
- demonstrated experience in developing ML models for predicting business events like clicks or conversions (i.e., Click-Through Rate (CTR) and Conversion Rate (CVR) modelling),
- proficiency in traditional machine learning techniques, such as Gradient Boosted Trees,
- experience in mentoring, technical leadership, or coordinating model development across a broader team,
- practical use of AI-assisted coding tools to improve engineering productivity and quality.
CV review – HR call – Interview – Client Interview – Decision
Skills Required
- Extensive hands-on experience designing, training, and improving deep learning models for production
- Proven expertise in PyTorch or TensorFlow
- Practical knowledge of Pandas and NumPy
- Advanced SQL skills (analytical SQL in large-scale environments preferred)
- Experience with public cloud infrastructure, preferably Google Cloud Platform
- Experience with ML-oriented GCP services such as Vertex AI and Vertex Pipelines
- Ability to lead end-to-end model development, from problem framing to production handoff
- Strong engineering foundations: writing production-level, testable, documented Python code and familiarity with CI/CD
- Ability to mentor other Data Scientists and raise modeling standards
- Relevant academic degree or extensive professional experience in a STEM field
- Work from the European Union region and hold a valid work permit
- Openness to on-site workshops in Warsaw (max 1-3 per quarter)
- Experience in developing ML models for low-latency online applications
- Experience within advertising or marketing domains (CTR/CVR/RoAS modeling)
- Proficiency with traditional ML techniques such as Gradient Boosted Trees
- Practical use of AI-assisted coding tools to improve engineering productivity
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]
