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Data Engineer

2 miesięcy temu

Krakow, Polska NUMLABS sp. z o.o. Pełny etat

technologies-expected :
Microsoft Azure
AWS
Google Cloud Platform

technologies-optional :
Docker
Kubernetes

responsibilities :
Pipeline Development:
Design, build, and optimize data pipelines for model training and inference systems.
Collaborate with data scientists and machine learning engineers to ensure efficient data preparation and feature engineering.
Scaled System Development:
Architect and implement scalable systems for model inference, data retrieval, and acquisition to support high-performance AI applications..
Optimize performance and reliability to handle large-scale data processing.
Observability:
Develop robust logging and monitoring solutions for AI systems.
Ensure traceability, debugging, and performance monitoring across the AI platform.
Data Management:
Work seamlessly with both structured and unstructured data sources to support diverse AI initiatives.
Ensure all data engineering practices comply with company policies and industry regulations for data security and privacy.
Innovation:
Stay abreast of the latest advancements in data engineering and AI technologies to continuously improve our systems and processes.

requirements-expected :
Fluent Polish
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Advanced Python knowledge for data processing and scripting.
Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
Hands-on experience with big data technologies and distributed computing frameworks.
Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes is a plus.
Understanding of AI/ML principles and practices, including model training, inference, and deployment.
Experience with Infrastructure as Code is a plus.
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.

offered :
Competitive salary: 100-150/h net on a B2B contract, or another preferred contract type, e.g., UZ.
Annual budget for courses and training.
Flexible work environment - 100% remote or hybrid from our office in Kraków.
Multisport card.
Strong substantive and practical support – we are committed to continuous learning.
Work in the fast-growing AI, ML, and Data Science industry.

benefits :
dofinansowanie zajęć sportowych
dofinansowanie nauki języków
możliwość pracy zdalnej
spotkania integracyjne
kawa / herbata