Xebia

Senior MLOps Engineer

Xebia  •  Remote  •  5 months ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We run events like the Data&AI Warsaw Summit, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.

You will be:

  • collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently,

  • implementing ML workflows / automating CI/CD pipelines,

  • automating model deployment and implementing model monitoring,

  • collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments,

  • collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company,

  • keeping on top of the latest trends and advancements in data engineering and machine learning.

Requirements

Your profile:

  • 2+ years of experience developing and deploying machine learning systems into production,

  • 5+ years of experience as a MLOps engineer or data engineer or software developer,

  • hands-on experience with cloud environments ( Azure/ GCP),

  • experience with tools such as VertexAI, Spark, PyTorch, TensorFlow and MLFlow,

  • knowledge of DevOps practices and tools, including Terraform,

  • experience with Docker and Kubernetes,

  • understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI,

  • excellent verbal and written communication skills in English.

    Work from the European Union region and a work permit are required.

    Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/

Nice to have:

  • Cloud (Azure, AWS, GCP) certification is a big plus.

Recruitment Process:

CV review – HR call – InterviewClient Interview (with Live-coding) – Hiring Manager Interview - Decision

Xebia

About Xebia

Xebia is a globally recognized leader in consulting, software engineering, and training, helping organizations advance in an AI-driven world. For more than 25 years, we have partnered with enterprises to drive innovation, create new opportunities, and gain competitive advantage.

With a team of over 5,500 Xebians across 16 countries, we specialize in Applied & Generative AI, Data & Cloud, Intelligent Automation, and Digital Products & Platforms. Our approach combines engineering excellence with a people-first mindset, enabling businesses to adopt emerging technologies while strengthening the skills and confidence of their teams.

We serve industries including banking and financial services, healthcare and life sciences, insurance, retail and consumer goods, ISVs and technology, media and entertainment, and travel and hospitality. Whether modernizing critical systems, automating key operations, designing AI-native platforms, or creating hyper-personalized customer experiences, we tailor every engagement to each client’s unique goals and challenges.

At Xebia, responsible AI isn’t just part of our work - it drives everything we do. We challenge the boundaries of innovation to unlock human potential and build a future that works for everyone. Our growth proves that ambition and responsibility can go hand in hand. We empower businesses to embrace an AI-first mindset and stay ahead of what’s next, always keeping people at the heart of progress.

Xebia | Shaping Tomorrow with AI Today

Industry
IT & Software
Company Size
5,001-10,000 employees
Headquarters
Atlanta, Georgia
Year Founded
Unknown
Website
xebia.com
Social Media