NIX Tech Kft.
Budapest, Fövény utca 4-6.
775k – 1.5M HUF alkalmazotti havi bruttó
Elvárások
- Data Science
- Postgres
- MongoDB
- SQL
- Python
- gradient boosting algorithms
- LLM
- LLM APIs
- RAG
- vector databases
- prompt engineering technique
- neural networks
- Machine learning
- ML
- Angol (B2)
Előnyt jelentő készségek
- Airflow
- Spark
- AWS
- Azure
- Docker
- Kubernetes
- GCP
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
- 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.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
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!
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- 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.
Specifikációk
- Toborzás nyelvei: magyar
- Azonnali kezdés
- Távmunka nem lehetséges
Biztosított eszközök
- Windows
- Számítógép: Workstation
- Monitorok: Ha szükséges
Irodán belüli juttatások
- Kerékpártároló
- Ingyenes kávé
- Szórakozási zóna
- Zuhanyzó
- Ingyenes snack
- Modern iroda
- Nincs dress code
Extrák
- Nemzetközi projektek
- Paid English courses
- Mentoring program
