AI/ML Engineer

Mindbox Sp. z o.o.; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexible cooperation

Hybrid work

Team collaboration

Professional development

Benefits package

Equipment provided

Job summary

Mindbox Sp. z o.o. seeks an AI/ML Engineer to design and develop predictive and recommendation models, experimenting with advanced ML/AI methods and evaluating their impact on business KPIs.

You will optimize data pipelines, implement production-ready code, and collaborate with Data Engineers and stakeholders from data exploration through deployment, ensuring scalable, robust solutions.

Qualifications

• 3+ years in Data Science / Machine Learning.
• Hands-on experience deploying predictive and classification models.
• Advanced knowledge of Python and ML libraries.
• Experience with large-scale datasets.
• Ability to measure model performance in business terms.
• Strong analytical and problem-solving mindset.

Responsibilities

• Design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques, and evaluate impact on business KPIs.
• Optimize data pipelines and model code; write production-ready code aligned with CI/CD.

Skills

Python

ML libraries

Model deployment

Data analysis

Tools

PySpark

Pandas

MLflow

Job description

• 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

• agile
• scrum

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.

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.

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

This is how we work on a project

sharing the costs of sports activities

private medical care

sharing the costs of professional training & courses

life insurance

• 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.
• 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.