AI/ML Engineer
⚲ Kraków
24 000–28 000 zł netto (+ VAT) / mies.
Wymagania
- Python
- AWS
- Microsoft Azure
- Google Cloud Platform
- TensorFlow
- Keras
- PyTorch
Opis stanowiska
Nasze wymagania:
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.
O projekcie:
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?
Zakres obowiązków:
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.
Oferujemy:
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
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.
O projekcie:
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?
Zakres obowiązków:
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.
Oferujemy:
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
🔍 Dekoder Ogłoszenia
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Shape the Future with AI/ML Engineer!
To marketingowy slogan mający na celu przyciągnięcie uwagi, niekonkretny opis roli.
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deliver impactful, data-driven solutions
Może oznaczać, że rozwiązania będą miały realny wpływ na biznes, ale równie dobrze mogą być to projekty o ograniczonym zasięgu lub trudne do zmierzenia efekty.
🔴
experiment with state-of-the-art ML/AI techniques (including deep learning)
Może oznaczać faktyczne wykorzystanie najnowszych technik, ale też jedynie eksplorację i prototypowanie bez gwarancji wdrożenia.
🔴
evaluate their impact on business KPIs
Choć brzmi profesjonalnie, może oznaczać, że będziesz musiał samodzielnie definiować i mierzyć te KPI, co może być trudne bez jasnych wytycznych.
🔴
Hybrid work setup – remote days available depending on the client’s arrangements
Elastyczność pracy zdalnej jest uzależniona od klienta, co może oznaczać ograniczoną liczbę dni zdalnych lub ich brak w praktyce.