NIX Tech Kft.
Budapest, Fövény utca 4-6.
950k – 1.8M HUF alkalmazotti havi bruttó
Elvárások
- Data
- Data science
- Postgres
- MongoDB
- Python
- Angol (B2)
Előnyt jelentő készségek
- SQL/NoSQL
- Docker
- Kubernetes
- MLOps
- Spark
A mi követelményeink
- Strong technical skills in code review, architecture, and data models.
- Experience designing ML pipelines, including data collection, wrangling, training and validating ML, delivering, and serving.
- Passion for continuous learning and improvement.
- Ability to accurately estimate time and resources for projects.
- Ability to manage timelines and deadlines while ensuring high-quality work.
- Excellent communication and collaboration skills.
- Ability to identify and address performance issues and recognize high performers.
- Strong leadership and mentoring skills.
- Experience in recruiting and building a team.
- Minimum English level B2.
- 6+ years of proven experience developing software using an object-oriented or functional language.
- Strong programming skills in Python.
- Proficiency in math and ML.
- Solid with ML libraries (numpy, pandas, scikit-learn) and frameworks (Pytorch, TensorFlow).
- Good at generative ML and most valuable solutions (LLM architectures and current tech stack to work with them, OpenAI API, AWS Bedrock, Google Google Gemini/Gemma)
- Good at current CV architectures (ResNet, AE, VAE, U-Net, GAN, Diffusion models)
- Experience working with Cloud Platforms (GCP, AWS, Azure – any of the listed) and their data-oriented components.
- Experience in ML serving concepts (CI/CD, REST/GRPC, flask/fastapi, docker, docker-compose);
- Expertise in the use of any relational databases (e.g., PostgreSQL, MSSQL, MySQL);
- A team player with excellent collaboration skills.
WILL BE A PLUS:
- Expertise in data storage design principles. Understanding of pros and cons of SQL/NoSQL solutions, their types, and configurations (standalone/cluster, column/row-oriented, key-value/document stores);
- Deep knowledge of Spark internals (tuning, query optimization, spark ML);
- Experience with data integration and business intelligence architecture;
- Experience with non-relational databases (e.g., MongoDB, DynamoDB)
- Experience with stream processing using the current industry standards (e.g., AWS Kinesis, Kafka streams, etc.)
- Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment;
- Good knowledge of popular data standards and formats (e.g., JSON, XML, Proto, Parquet, Avro, ORC, etc.);
- Experience with any of MLOps framework;
- Experience in data science and machine learning with building Machine Learning models.
- Experience with text-to-speech and speech-to-text architectures and models.
Pozíció / projekt rövid leírása
NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Data Science Lead 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 CAN WE OFFER YOU:
- Competitive compensation packages.
- Stable employment, based on a full-time employment contract.
- Mentoring program and professional development plan.
- Private health insurance (Medicover 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
- Lead the design and development of data science solutions, including data pipelines and ML processes, leveraging your technical expertise.
- Lead and mentor a team of data scientists, providing technical guidance and oversight to ensure high-quality deliverables.
- Accurately estimate time and resources required for new projects.
- Promote a continuous learning and improvement culture, staying up-to-date with industry best practices and emerging technologies.
- Evaluating team performance and providing feedback and coaching.
- Encouraging collaboration and open communication within the team and with other stakeholders.
- Participating in the recruitment process to select new team members.
Specifikációk
- Toborzás nyelvei: angol
- Azonnali kezdés
- Határozatlan idejű szerződés
- Távmunka nem lehetséges
Biztosított eszközök
- Windows
- Számítógép: Workstation
- Monitorok: Ha szükséges
Metodológia
- Issue tracking toolJira, Confluence
Irodán belüli juttatások
- Kerékpártároló
- Ingyenes kávé
- Szórakozási zóna
- Zuhanyzó
- Ingyenes snack
- Modern iroda
- Nincs dress code
Extrák
- Nemzetközi projektek
- Paid English courses
- Mentoring program
