Big Data Engineer for AI Innovations

24 godzin temu


Warsaw, Polska Michael Page Pełny etat

O naszym kliencie

Do you want to create Big Data systems that drive the development of artificial intelligence? Do you have the ambition to work with data on a global scale, building solutions that change the way the world uses AI? If so, join our team as a Big Data Engineer and help us transform the present into the future

Opis stanowiska

- Design and develop Big Data infrastructure to support the development of AI models

- Creating efficient processes for ETL, stream processing and integration of data from different sources

- Optimizing data flows and ensuring scalability for AI applications

- Collaborate with Data Scientists teams to build and implement machine learning models

- Monitor, maintain and optimize Big Data systems

- Maintain a strong focus on the latest trends in Generative AI, fostering a culture of innovation through new and impactful ideas

Profil kandydata

- Practical knowledge of Big Data systems (Hadoop, Spark, Kafka, Flink)

- Experience working with programming languages (Python, Java, Scala)

- Knowledge of databases (SQL, NoSQL)

- Hands-on experience with deploying AI solutions using cloud platforms like AWS/Azure

- Understanding of AI/ML algorithms and their infrastructure requirements

- Ability to design scalable and efficient data flows

- Excellent analytical skills and willingness to solve complex problems

- Passion for working with data and AI

- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field (PhD preferred)

- Ability to collaborate with multi-disciplinary teams

- Fluent english

Oferujemy

- Employment contract or B2B - direct employment (not outsourcing)

- Work 100% remote or hybrid (Warsaw, Poznan, Gdansk) - your choice

- Training (external, internal), certifications, budget for conferences, subsidized language learning

- Extras: Private medical care, group insurance, Multisport card, retirement benefits, additional vacation days

- Soft skills training, support in preparing for the role of a speaker

- International work, long-term cooperation, diverse projects

- Opportunity to work on groundbreaking AI projects

- Access to global data and tools

- A friendly atmosphere where every voice counts


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