Medior Data Scientist @ NIX Tech Kft. Budapest

Medior Data Scientist @ NIX Tech Kft.
Budapest
Budapest, Budapest, HU

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.

WHAT WE OFFER:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Mentoring program and professional development plan.
• 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.

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!

• 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.

Nice to have:

• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP);
• Ability to work with Spark, Airflow.

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.

WHAT WE OFFER:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Mentoring program and professional development plan.
• 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.

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!

, [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. ] Requirements: Data Science, Postgres, MongoDB, SQL, Python, gradient boosting algorithms , LLM, LLM APIs, RAG, vector databases, prompt engineering technique, neural networks, Machine learning, ML, Airflow, Spark, AWS, Azure, Docker, Kubernetes, GCP Additionally: International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.