Oferty pracy
Nazwa stanowiska | Internship AI - start day is flexible |
Numer referencyjny | BK-OS-00058-2025 |
Rodzaj zatrudnienia | staż |
Branża | IT/PROGRAMOWANIE/PROJEKTOWANIE |
Ważne do | 13.06.2025 |
Key Responsibilities
- Participate in building, testing, and maintaining efficient data pipelines to support machine learning workflows. This includes data ingestion, preprocessing, transformation, and ensuring data quality and consistency across environments
- Contribute to the creation of intelligent agents capable of autonomous decision-making. Assist in integrating these agents into larger systems or applications, ensuring robust performance and scalability
- Work on extracurricular or research-oriented tasks involving the training, fine-tuning, and evaluation of machine learning models using standard frameworks. Analyze model performance and iterate based on insights and metrics
- Enhance team collaboration through active participation in Agile development processes and by understanding professional teamwork dynamics
Benefits
- Enjoy personalized learning with intimate group sizes of 3-15 or opt for a one-on-one experience
- Our dynamic curriculum offers a mix of hands-on practice and essential theory, tailored for groups or adjusted to fit individual needs
- Give yourself at least three months to dive deep into the material in a group, or choose an individual internship length that aligns with international standards
- Discover the industry inside out. This internship provides insights into the IT world, giving you a leg up in your future career
- Receive guidance and support from an experienced mentor throughout your internship journey
- Beyond learning, there's a chance for employment. Successful interns might land a full-time job with us after the program
- Dive into real-world projects! Get hands-on experience with genuine IT challenges and see firsthand the solutions in action
Engineer your success!
Kraj | Polska |
Województwo(a) | łódzkie |
Miasta | Łódź |
Wymagane języki |
Angielski - B1 |
Dodatkowe wymagania | Qualifications Confident knowledge of Python Experience with Pandas, SciPy, Matplotlib, Scikit-learn, PyTorch/TensorFlow Good grasp of ML algorithms: Decision Trees, Random Forests, KNN, Linear and Logistic Regression Basic understanding of neural networks Familiarity with supervised and unsupervised learning methods Understanding of classification, regression, and clustering processes Ability to assess model performance using evaluation metrics Solid fundamentals in statistics and linear algebra Fluent in English communication |

90-440 Łódź
Nip: 7252303560