Overview
We are Xebia – a place where experts grow. For nearly two decades now, weve been developing digital solutions for clients from many industries and places across the globe. Among the brands weve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.
Were passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.
Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.
Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.
Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.
What makes us stand out? Its the little details, like our attitude, dedication to knowledge, and the belief in peoples potential – emphasizing every team members development. Obviously, these things are not easy to present on paper – so, make sure to visit us to see it with your own eyes!
You will
* 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 lifecycles 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, 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.
Nice to have
* Cloud (Azure, AWS, GCP) certification is a big plus.
Work location and eligibility
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/
Recruitment Process
CV review – HR call – Interview – Client Interview (with Live-coding) – Hiring Manager Interview - Decision
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