Machine Learning Engineer (Azure) Poland : Kraków + Hybrid 21 000 – 27 000 PLN NET B2B Machine [...]

Virtus Lab Sp. z o.o. All trademarks their respective owners; Kraków; On-site; PLN 167,400 - 267,840; Full time

Benefits offered by this job

Building tech community

Home office reimbursement

Training Package

In-house training

Job summary

A leading technology company in Kraków is seeking a Machine Learning Engineer to drive business innovation through production-ready ML pipelines. Responsibilities include deploying and maintaining ML workflows, collaborating with Data Scientists, and developing high-quality Python code. The ideal candidate must have strong Azure and Python skills and the ability to work in a team. The position offers a hybrid work model and various perks, including home office reimbursement and training packages.

Qualifications

• Hands-on experience in deploying Python projects.
• Strong experience in writing high-quality Python code.
• Good command of English (B2/C1).

Responsibilities

• Develop libraries and tools for ML model deployment.
• Work in Azure developing model training code.
• Collaborate with engineering and data science teams.

Skills

Python

Docker

GitHub Actions

AzureML

Spark

Kubernetes

Airflow

Data Visualization

Tools

Azure

DevOps

Job description

We foster a dynamic culture rooted in strong engineering, a sense of ownership, and transparency, empowering our team. As part of the expanding VirtusLab Group, we offer a compelling environment for those seeking to make a substantial impact in the software industry within a forward-thinking organization.

About the role

Join our team to drive business innovation with production-ready machine learning pipelines. You will play a key role in deploying and maintaining ML workflows, leveraging Azure for cloud computing and on‑prem clusters for ETLs. Collaborating closely with Data Scientists, you will contribute to AI‑powered projects while shaping the organization’s technical culture.

Python Expert

Docker Advanced

GitHub Actions Advanced

AzureML, Web Apps , AirFlow Nice to have

Spark Nice to have

Dashboarding / visualization skills Nice to have

Exposure to other programming technologies Nice to have

Project: Forecasting and Commodities

Project Scope

As an ML Engineer in Forecasting and Commodities, you will be involved in projects that support critical decision making processes, by applying your Python, PySpark, Kubernetes and Cloud (Azure) skills. You will be working in a technically mature ecosystem, implementing new features and covering new use‑cases. Part of your responsibilities will be design and implementation of a data science innovation framework, as well making contributions to an overall engineering best practises of the organization.

Your key responsibilities would be:

• Developing libraries, tools, and frameworks that standardise and accelerate development and deployment of machine learning models.
• Working in an Azure cloud environment, developing model training code in AzureML. Building and maintaining cloud infrastructure with IaC (infrastructure as code).
• Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning.
• Diagnosing and resolving technical issues, ensuring availability of high‑quality solutions that can be adapted and reused.
• Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work.
• Championing best practices in code quality, security, and scalability by leading by example.
• Taking your own, informed decisions moving a business forward.
• Building a system that provides accurate and up‑to‑date business forecasts, by providing a set of tools that can be easily leveraged by data scientists and analysts.
• Streamlining the process of onboarding, deployment and patching new ML pipelines.
• Collaborating with cross‑functional teams enhancing customer experiences through innovative technologies.
• Employing DevOps practises for reproducible patterns in multiple business domains.

Team

3 engineers

What we expect in general:

• The ability to work in hybrid model from Krakow office is a must (3 days per week).
• Hands‑on experience in deploying Python projects.
• Strong experience in writing high‑quality Python code.
• Experience with orchestration tools such as Airflow.
• Knowledge of Spark or other distributed data processing tools.
• Experience with Kubernetes ecosystem as a user.
• Strong experience in Azure and Docker.
• Ability to work in a team and participate in the design process.
• Good command of English (B2/C1).
• Team player with mentoring ability.
• Proactive and responsible.
• Strategic thinker with big‑picture perspective.

Seems like lots of expectations, huh? Don’t worry! You don’t have to meet all the requirements.
What matters most is your passion and willingness to develop. Apply and find out!

A few perks of being with us

• Building tech community
• Home office reimbursement
• Training Package
• Virtusity / in‑house training
• And a lot more!

Apply now

Machine Learning Engineer