• Open positions
  • Get to know us
  • FAQ
Open positions

Machine Learning Engineer

Machine Learning Engineer
B2B21 000 - 27 000 PLN NET
LOCATION + Hybrid Poland: Kraków
Apply now

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
Azure 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
View available projects
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.
Tech Stack

Python, PySpark, Airflow, Docker, Kubernetes, Azure (incl. Azure ML), pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git, GitHub.

Project Challenges
  • 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

Project
Pricing team
Project Scope

We provide price optimisation solutions in close collaboration with a major UK retailer’s data science team. Together, we build projects to enable quick exploration and productionisation of the ML models and respective optimisation algorithms in a hybrid-cloud environment. The end goal is to provide APIs for the optimiser to solve pricing class problems across multiple business domains.

What you will do
  • Implementation of the end-to-end Machine Learning Lifecycle, starting from data preparation over experimentation to continuous monitoring of data and models in production
  • PySpark data pipelines to load and transform large amounts of data to produce smaller, significant features used in modelling and analytics.
  • Provisioning all cloud resources that support the model development in AzureML with IaC using Terraform.
  • The selection of the best architectural patterns to solve business problems.
  • Building robust and maintainable code in the cloud and on-prem to bring models fast and reliably to production.
  • Establishing a mature DevOps culture and working on solutions that are reusable in multiple business domains.
Tech Stack

Python (pySpark, Airflow, Azure SDK), Spark K8S cluster, Azure ML and IaC with Terraform, CI/CD with GitHub Actions, Docker

Challenges

There are many pricing problems in the global retailer world which share similar structures and constraints. We focus on building robust solutions that are reusable across multiple domains, leveraging a hybrid on-prem and cloud infrastructure, and ensuring top quality while maintaining quick iterations.

Team

The core engineering team consists of 5-6 talented people in Poland. We collaborate closely with the client’s product management and data science team.

What we expect in general:

  • 5+ years of hands-on machine learning engineering experience
  • The ability to work in hybrid model from Krakow office is a must (1 day 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).
  • Strong communicator
  • 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
Building tech community
Flexible hybrid work model
Flexible hybrid work model
Home office reimbursement
Home office reimbursement
Language lessons
Language lessons
MyBenefit points
MyBenefit points
Private healthcare
Private healthcare
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

Machine Learning Engineer

"*" indicates required fields

Accepted file types: pdf, Max. file size: 5 MB.
Please submit a CV no longer than two pages.
Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*.(Required)*

Current recruitment process: For the purpose of recruitment, I hereby give consent as per art. 6.1.a of the GDPR to processing of my personal data (other than that listed in art. 22 [1] § 1 Labour Code) by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that my personal data will be kept for the duration of the recruitment process and as regards any potential claims, for the period of 36 months maximum, and that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any time, but this withdrawal does not make the previous processing illegal*.

(Required)
Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Future recruitment processes: I hereby give consent as per art. 6.1.a of the GDPR to the processing of my personal data by Virtus Lab Sp. z o. o. (as Co-Controller for a full list of joint controllers, see Privacy Policy) with its headquarters at Szlak 49 Street, 31-153 Cracow, in order to use this data in future recruitment processes. I hereby agree to possible storage of my personal data for this purpose in Virtus Lab’s database for a period of 36 months maximum. At the same time I accept the Privacy Policy of the Data Controller. I acknowledge that I have the right to access this data or have it rectified or deleted on demand. This consent can be withdrawn at any point, but this does not make the previous processing illegal*.

Aleksandra Grabowska
Coordinated by
Aleksandra Grabowska
IT Talent Acquisition Specialist
linkedin
Machine Learning Engineer
B2B21 000 - 27 000 PLN NET
LOCATION + Hybrid Poland: Kraków
Apply now
group of people gathered together
Not sure if this role is right for you?
It doesn't mean that you don't match. Tell us about yourself and let us work on it together.
Contact us
We create and engineer software
Privacy Policy