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Machine Learning Engineer (Senior)

Machine Learning Engineer (Senior)
B2B21 000 - 27 000 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 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 Advanced
Apache Airflow Advanced
CI/CD Regular
Kubernetes Regular
Apache Spark Regular
Azure ML Basic
Azure Basic
ML Basic
Docker Basic
Terraform Basic
View available projects
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, 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 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, Dask, xgboost, pandas, scikit-learn, numpy, GitHub Actions, Azure DevOps, Terraform, Git @ GitHub
Project Challenges
- 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

  • 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 in developing CI/CD components and a good understanding of the SDLC.
  • Experience with orchestration tools such as Airflow.
  • Knowledge of Spark or other distributed data processing tools.
  • Experience with Kubernetes ecosystem as a user.
  • Experience with IaC, particularly Terraform, is a plus.
  • Experience with Azure is a plus.
  • Ability to work in a team and participate 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
Training Package
Training Package
Virtusity / in-house training
Virtusity / in-house training
And a lot more!

Apply now

Machine Learning Engineer (Senior)

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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 (Senior)
B2B21 000 - 27 000 PLN NET
LOCATION + Hybrid Poland: Kraków
Apply now
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