Senior MLOps Engineer
Listed on 2026-01-12
-
IT/Tech
Cloud Computing, Data Engineer, AI Engineer, Machine Learning/ ML Engineer
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 Get In Data , 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, All Saints, 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,
- 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 life cycles within the company,
- keeping on top of the latest trends and advancements in data engineering and machine learning.
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
, Py Torch ,
Tensor Flow and MLFlow
, - knowledge of Dev Ops 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 Git Hub Actions or Git Lab CI,
- excellent verbal and written communication skills in English.
Work from the European Union region and a work permit are required.
Cloud (Azure, AWS, GCP) certification is a big plus.
Recruitment Process:CV review –
HR call –
Interview –
Client Interview (with Live‑coding)– Hiring Manager Interview
- Decision
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).