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.