Junior Data Scientist
NIX Tech Kft.
⚲ Budapest
6 261 - 12 522 PLN (PERMANENT)
Wymagania
- Data Science
- Machine Learning
- NumPy
- pandas
- OOP
- Git
- LLM APIs
- TensorFlow (nice to have)
- PyTorch (nice to have)
- LightGBM (nice to have)
- XGBoost (nice to have)
- Docker (nice to have)
- Kubernetes (nice to have)
- PostgreSQL (nice to have)
- MySQL (nice to have)
- MongoDB (nice to have)
- LangChain (nice to have)
- LangGraph (nice to have)
Opis stanowiska
O projekcie: NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Junior Data Scientist in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems. WHAT WE OFFER: - Competitive compensation packages. - Stable employment, based on a full-time employment contract. - Private health insurance (Medicare Сlinic). - AYCM sport pass, providing discounts at various sports facilities in Hungary. - Interesting tasks and diverse opportunities for developing your skills. - Free training courses. - Participation in internal and external thematic events, technical conferences. - A spacious office in the heart of Budapest (13th district). - All necessary devices and tools for your work. - Active corporate life. If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you! Wymagania: - English level intermediate; - Basic math and theory of probability; - Understanding of Version Control Systems (such as Git); - Basic python language; - Understanding OOP principles; - Experience using or integrating with cloud LLM APIs (e.g., OpenAI, Claude, Amazon Bedrock, Vertex AI); - Practical experience with prompt engineering techniques; - Classic machine learning algorithms (Scikit-learn library); - Experience in Numpy and Pandas libraries. Nice to have: - MLOps tools (MLflow for experiment tracking, DVC for data versioning, observability tools); - Basic knowledge of neural network architectures; - At least 1 framework to build and train neural networks (TensorFlow/Keras, PyTorch); - Experience with gradient boosting algorithms (XGBoost or LightGBM); - Being familiar with one or more of the following databases - PostgreSQL, MySQL, MongoDB; - Familiarity with LLM orchestration tools (e.g., LangChain, LangGraph); - Docker or Kubernetes platform. Codzienne zadania: - Collaborate with the team to implement new features to support the growing data needs - Build, maintain, and deploy DS and ML pipelines, including data retrieval, preprocessing, feature engineering, training and inferencing the models, analyzing and visualizing the results - Collaborate with the team to decide on which tools and strategies to use within specific scenarios