Praca w miastach:Praca IT Warszawa•Praca IT Kraków•Praca IT Wrocław•Praca IT Szczecin•Praca IT Poznań•Praca IT Lublin•Praca IT Katowice•Praca IT Bydgoszcz•Praca IT Łódź•Praca IT Białystok•Praca IT Toruń•Praca IT Gdańsk
Stanowiska:Grafik komputerowy praca•Tester gier praca•Programista praca•Tester oprogramowania praca•Frontend Developer praca•Data scientist praca•Tester manualny praca•Tester praca•Analytics praca•Tester aplikacji praca•Programista java praca•Web developer praca
Technologie i narzędzia:Python praca•Cyberbezpieczeństwo praca•Java praca•Bazy danych praca•Cisco praca•C++ praca•Javascript praca•SQL praca•Business Intelligence praca•Delphi praca•Wordpress praca•Testowanie aplikacji praca•C# praca•PHP praca
Specjalizacje:Backend praca•Devops praca•Frontend praca•Full-stack praca•GameDev praca•Mobile praca•Embedded praca•Architecture praca•QA/Testing praca•Security praca•AI/ML praca•Big data science praca•Helpdesk praca•IT admin praca•Agile praca•Product Management praca•Project Management praca•UX/UI praca•Business analytics praca•SAP & ERP praca•System analytics praca•PO/PM praca•Scrum master praca•Analityka praca•Data analytics & BI praca
Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building predictive and recommendation AI/ML solutions within a tech consulting and engineering context. Technologies used include Python, PySpark, Pandas and MLflow. Responsibilities cover designing and deploying predictive and classification models, experimenting with deep learning, optimizing data pipelines and model code, writing production-ready code aligned with CI/CD, and collaborating with Data Engineers and stakeholders across the model lifecycle. Required 3+ years in Data Science/ML and ability to measure model impact on business KPIs.
from: 12 October 2026
to: 11 November 2026
24 000 - 28 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:senior
working mode:hybrid
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
Python
Optional technologies
AWS
Microsoft Azure
Google Cloud Platform
TensorFlow
Keras
PyTorch
Operating system
Windows
Our requirements
- Experience: 3+ years in Data Science / Machine Learning.
- Hands-on experience deploying predictive and classification models.
- Advanced knowledge of Python and ML libraries.
- Experience working with large-scale datasets.
- Ability to measure model performance in business terms.
- Soft Skills: Strong analytical background and problem-solving mindset.
Your responsibilities
As a AI/Machine Learning Engineer, you will design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques (including deep learning), and evaluate their impact on business KPIs. You’ll optimize data pipelines and model code using PySpark, Pandas, and MLflow, write clean, production-ready code aligned with CI/CD best practices, and collaborate with Data Engineers and stakeholders throughout the entire lifecycle — from data exploration to deployment.
Note: Detailed project information will be shared during the recruitment process.
About the project
Shape the Future with AI/ML Engineer!
Are you passionate about building predictive models and leveraging cutting-edge AI techniques? Join our team and help us deliver impactful, data-driven solutions.
Sounds like your kind of challenge?
This is how we organize our work
This is how we work
agilescrum
This is how we work on a project
- Continuous Deployment
- Continuous Integration
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
What we offer
- Flexible cooperation model – choose the form that suits you best (B2B, employment contract, etc.)
- Hybrid work setup – remote days available depending on the client’s arrangements
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High quality equipment – laptop and essential software provided
Benefits
- sharing the costs of sports activities
- private medical care
- sharing the costs of professional training & courses
- life insurance
Mindbox Sp. z o.o.
At Mindbox, we connect top IT talents with technology projects for leading enterprises across Europe.
Our focus is on matching your skills with work that matters – projects that use modern tech stacks, solve real business challenges, and give you space to grow. By joining us, you’ll deliver technology solutions for well-known brands, supported by the Mindbox team that values knowledge-sharing and continuous development. We make sure you have the tools, flexibility, and guidance to do your best work – and to keep moving forward in your career.
AI/ML Engineer
24k–28k zł / mth. (B2B)
I apply to:
Mindbox Sp. z o.o.
Kraków, Lesser Poland
Pracodawca zbiera zgłoszenia przez swój system.
Przejdziesz na zewnętrzny formularz.
By clicking "Aplikuj" you confirm that you've read and accepted our Terms and Conditions.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.