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Machine Learning Engineer (Regular)

Machine Learning Engineer (Regular)
B2B15 000 - 22 000 PLN NET
LOCATION + Hybrid Poland: Kraków
Apply now

We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself!

About the role

Join us to drive business innovation with production-grade ML pipelines. Become a key member of our team as you dive into Big Data, utilise Azure for cloud computing, and deploy solutions on edge devices. Collaborate with Data Scientists on impactful AI-powered projects.

Our mentioned projects are the tip of the iceberg – expect a landscape of more intriguing and diverse challenges ahead.

Python Advanced
English Advanced
CI/CD Regular
Spark Basic
Azure Basic
ML Basic
MLOps Basic
Docker Basic
Kubernetes Basic
View available projects
Project
Forecasting & 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.
Responsibilities
- 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
5 Engineers
Project
StoreOps
Project Scope
As an ML Engineer in StoreOps, you will dive into projects that streamlining retail operations through the use of analytics and ML, by applying your Python, Spark, Kubernetes, and Cloud (Azure) skills. You will be contributing to a mix of mature and new projects by bringing machine learning pipelines into production, building and maintaining robust Azure infrastructure, as well as fostering a technical culture of the organization.
Responsibilities
- Developing machine learning models and feature engineering pipelines with cooperation with data scientists.
- 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), KServe, Feathr, Dask, xgboost, pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub
Project Challenges
- Serving machine learning models online based on an online feature store.
- Enhancing the monitoring, reliability, and stability of deployed solutions, including the development of automated testing suites.
- Automating the machine learning model lifecycle to continuously improve the performance on production.
- Collaborating with cross-functional teams enhancing customer experiences through innovative technologies.
Team
5 engineers

What we expect in general:

  • Readiness to work from the Kraków office in a hybrid model  
  • Hands-on experience with deployment of Python projects
  • Strong experience with writing high quality Python code
  • Experience with developing CI/CD components and a good understanding of the software development lifecycle
  • Experience with developing in the cloud
  • Experience with Azure and AzureML is an advantage
  • Basic knowledge of orchestration tools such as Airflow
  • Basic knowledge of Spark or other distributed data processing tools
  • Ability to dive into the Kubernetes ecosystem as an user
  • Ability to work in a team and taking part in the design process
  • Good command of English (B2 / C1)

Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Moreover, B2B does not have to be the only form of cooperation. 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
Stretching
Stretching
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

Machine Learning Engineer (Regular)

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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 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. 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 23 Zofii Nałkowskiej Street, Rzeszów, 35-211. 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 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, 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 23 Zofii Nałkowskiej Street, Rzeszów, 35-211, 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*.

Paulina Radzimowska
Coordinated by
Paulina Radzimowska
Senior IT Talent Acquisition Specialist
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Machine Learning Engineer (Regular)
B2B15 000 - 22 000 PLN NET
LOCATION + Hybrid Poland: Kraków
Apply now
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