About the Project
- We are currently seeking a skilled and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for experiments with datasets searching for useful insights and features, maintaining data pipelines and training machine learning algorithms, and visualizing results.
Be a proactive team worker.
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.
Build, maintain and deploy LLM-powered systems and agent pipelines, including prompt engineering, tool and API integration, memory and context management, inference orchestration, and evaluation of model outputs.
Share knowledge with other teams on various data science or project-related topics.
Collaborate with the team to decide on which tools and strategies to use within specific scenarios.
English level upper intermediate +.
Good mathematical and statistical background, tensor calculus.
Good knowledge of databases such as Postgres, MongoDB, and SQL.
Python language including practical experience with Scikit-learn, Numpy, Pandas, and Matplot libraries.
Experience with gradient boosting algorithms (XGBoost or LightGBM).
Familiarity with LLM orchestration tools (e.g., LangChain, LangGraph).
Experience using or integrating with cloud LLM APIs (e.g., OpenAI, Claude, Amazon Bedrock, Vertex AI).
Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., pgvector, FAISS, Weaviate, Pinecone).
Practical experience with prompt engineering techniques, agentic tools and workflows.
At least 1 framework to build and train neural networks (TensorFlow/Keras, PyTorch), a good understanding of neural networks architectures, and how-tos.
Commercial experience with classic machine learning and deep learning, including NLP and CV models like Bert, Resnet.
Practical skills in building en-to-end ML training pipelines (data load, preprocess, train, inference), as well as GitHub / GitLab CI/CD flows.
Docker or Kubernetes platform.
Work experience as a Data Scientist more than 2 years.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
Ability to work with Spark, Airflow.
NIX is a global supplier of software engineering and IT outsourcing services
NIX teams collaborate with partners from different countries. Our specialists have experience in developing innovative projects from ecommerce to cloud for some of the largest companies in the world, including from the Fortune 500. The teams are focused on stable development of the international IT market, business, and their own professional skills.










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, including English.
- 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.
- Friendly, motivating atmosphere.
- Active corporate life.
Become a part of NIX team
