---
title: 'Senior ML Engineer at Poland and Eastern Europe'
canonical: 'https://feeny.ai/job/senior-ml-engineer-poland-and-eastern-europe-bulgaria-poland-romania-4zs94vcs5w20'
type: 'job'
last_seen: '2026-11-02'
---

# Senior ML Engineer at Poland and Eastern Europe

- **Company:** Poland and Eastern Europe
- **Location:** Bulgaria / Poland / Romania
- **Posted:** 2026-11-02
- **Last confirmed live:** 2026-11-02
- **Apply:** https://job-boards.greenhouse.io/xebiacee/jobs/6238249004

## Job description

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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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:

- take ownership of an existing ML solution and codebase following knowledge transfer from the Lead AI/ML Engineer,

- develop and productionize machine-learning models for new-product first-order recommendations,

- build and maintain training and inference pipelines using Azure Machine Learning,

- implement scheduled model retraining and integrate models with the existing model registry and validation gate,

- implement data quality and completeness checks, including validation of product attributes required by the models,

- develop recommendation logic accounting for service levels, minimum order quantities, time until the next delivery and category-based fallback rules,

- implement and validate the transition of products from the new-item model to the main forecasting model as sufficient sales history becomes available,

- extend daily recommendations to eligible catalogue products based on agreed criteria and backtesting results,

- support the phased rollout of catalogue products and implement monitoring for individual product segments,

- maintain MLOps capabilities, including model versioning, validation, automated retraining, monitoring, data-drift detection and alerting,

- integrate ML outputs with the existing data warehouse and Power BI reporting,

- ensure production runs are reproducible and that model versions retain their training windows and feature contracts,

- participate in testing, dry runs, parallel runs, documentation and operational handover,

- collaborate with the Lead AI/ML Engineer, BI team and business stakeholders to ensure a reliable production rollout.

Your profile:

- hands-on experience developing and productionizing machine-learning solutions,

- practical experience with Azure Machine Learning, including training and inference pipelines,

- experience implementing MLOps practices, including model registries, model versioning, automated retraining, validation gates, monitoring and rollback,

- experience building and maintaining scheduled batch ML pipelines,

- ability to take ownership of an existing ML codebase and continue development following an initial knowledge-transfer phase,

-

## experience integrating ML pipelines with data warehouses,

- experience implementing data validation and input-quality checks,

-

## experience with model monitoring and data-drift detection,

- experience implementing automated testing and CI/CD for ML workloads,

- familiarity with Git-based repositories and deployment workflows,

- understanding of model evaluation, backtesting, champion/challenger validation and production acceptance criteria,

- ability to document ML systems and operational procedures,

- ability to collaborate effectively with technical teams and business stakeholders,

- ability to work independently on implementation after an initial knowledge-transfer period,

- availability to participate in an approximately 15-week MVP, with an expected commitment of around 45 engineer-days.

Nice to have:

- experience with demand forecasting, inventory optimization or purchasing and replenishment systems,

-

## experience with LightGBM,

-

## experience working with Azure SQL-based data warehouses,

- familiarity with Azure managed identities, Key Vault and Azure Monitor,

- familiarity with Power BI integrations and ML monitoring and reporting use cases,

- experience with Azure DevOps or GitHub Actions and Azure deployment workflows,

- experience working with service-level-based inventory or order-quantity models,

- familiarity with model calibration and monitoring forecast accuracy and bias,

- experience developing ML solutions for new-product forecasting with limited historical data,

- familiarity with retail, wholesale, supply chain or catalogue-based business environments.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision

## About Poland and Eastern Europe

## Company Overview
- **One-liner**: Xebia’s Poland & Eastern Europe (CEE) unit delivers AI-first digital transformation, data platforms, cloud engineering, and custom software for global enterprises.
- **Entity Type**: Private (part of Xebia Group)
- **Headquarters**: Wrocław, Poland (with main offices in Gdańsk and Rzeszów; additional hubs in Bulgaria, Romania, Czechia, etc.)
- **Founded**: The Polish entity formed through the acquisition of PGS Software and GetInData; Xebia itself was founded in 2001
- **Founders**: Not publicly disclosed for the CEE region; Xebia global was founded by Anand Sahay and others

## Core Business
- Primary industries: IT consulting, cloud & data engineering, AI/ML, custom software development
- Target customers: B2B, large enterprises and mid-market across fintech, e-commerce, media, fashion, airlines, logistics, streaming, telecom, retail
- Mission: “Shaping tomorrow with AI today” – combining human expertise with AI to help organizations design and build scalable, data-driven solutions

## Products & Services
- **Cloud & Platform Engineering**: Consulting and implementation for AWS, Azure, GCP, including migration, DevOps, and DevSecOps. (Service)
- **Data Platforms & Analytics**: End-to-end data engineering, Databricks, Snowflake, dbt, and analytics solutions. (Service)
- **AI & Machine Learning**: AI architecture, ML engineering, and AI platform development. (Service)
- **Digital Product Engineering**: Full-stack software development, mobile apps (iOS/Android), and custom application development. (Service)
- **Training & Knowledge Sharing**: Internal guilds, labs, meetups, and conference speaking; covers Azure, AWS, ISTQB, PMI certifications. (Service)

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metric**: 1,000+ experts in the CEE region (part of 5,000+ global workforce)
- **Notable Investors / Partners**: Partners include Databricks, dbt, Snowflake, Azure, GCP, AWS (first AWS Premier Partner in Poland); clients named: McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, Allegro, InPost, etc.
- **Growth Signals**: Active hiring across 60+ roles (AI Architects, Data Engineers, DevOps, Java, etc.), 95% employee retention over 5 years, 30% hold principal/senior/mid-level positions, 60+ conference speakers, 20+ guilds, strong workation and remote culture

## Competitive Advantages
- **Deep cloud certifications and partnerships** – first AWS Premier Partner in Poland, Gold Partner for Databricks, Snowflake, GCP.
- **Strong engineering community** – over 20 internal guilds & labs, regular meetups (Software Talks, Data Tech Talks), and hosting one of Poland’s largest tech conferences.
- **Longevity & retention** – 95% of employees stay over 5 years, indicating strong culture and career growth.
- **Global delivery model** – combination of client-facing teams in US/Europe with nearshore (CEE, LATAM) and offshore (India) capacity, offering diverse project exposure.

## Strategic Focus
- **AI-first approach** – embedding AI into all service lines and internal operations.
- **Knowledge sharing and thought leadership** – support for conference speaking, open-source contributions, and continuous learning.
- **Scaling the CEE hub** – expanding headcount across cloud, data, and AI roles while maintaining a people-first, flexible work culture.

## Why Work Here
- **Work flexibility**: Hybrid/remote options; work from offices in Wrocław, Gdańsk, Rzeszów (Poland) or fully remote; up to 45 working days per year of “workation”.
- **Growth & development**: Personal development budget for tech & soft skills; full reimbursement for cloud certifications (Azure, AWS, ISTQB, PMI); mentoring and internal training.
- **Engineering culture**: Focus on modern open-source stacks, real ownership, guilds & labs, and a strong knowledge-sharing ethos (60+ conference speakers, meetups).
- **Perks & wellbeing**: Health and wellbeing support, team building events, referral program, and a diverse, inclusive workplace.
- **Notable**: “95% of Xebians have been with us for over 5 years” – signals long-term career stability.

## Sources
1. [xebia.com – Career at Xebia (Poland)](https://xebia.com/careers-poland/)
2. [job-boards.greenhouse.io – Xebia CEE Jobs](http://job-boards.greenhouse.io/xebiacee)
3. [xebia.com – Locations](https://xebia.com/locations/)
4. [job-boards.greenhouse.io – Additional job listing](https://job-boards.greenhouse.io/xebiacee/jobs/5991335004)
5. [xebia.com – Main site](https://xebia.com/)

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