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Data Engineer for Advanced Machine Learning Solutions

2 tygodni temu


Wrocławska Katowice, Polska Reply Polska Sp. z o. o. Pełny etat

Job Description

We are looking for a highly skilled Data Engineer to join our team. As a key member of our organization, you will be responsible for developing and implementing complex data analytics and machine learning solutions.

About Us

Data Reply, as part of the Reply Group, offers a wide range of services to help customers become data-driven. Our team is active in various industries and business areas and works closely with clients to enable them to achieve meaningful results through the effective use of data.

Your Role

In this role, you will support our clients during the successful development and implementation of complex solutions for Data Analytics and Machine Learning applications. You will provide scalable, cost-efficient, and flexible solutions using distributed open-source and cloud technologies.

You will work to iteratively improve and expand machine learning and data-driven applications using the latest tools and methodologies in software lifecycle management. Additionally, you will communicate regularly in an efficient and professional manner with our customers and stakeholders.

Requirements

We are looking for candidates with completed studies in computer science, mathematics, physics, or a similar qualification. Programming experience using languages such as Python, Java, and Scala (especially Python) is required. Cloud experience (AWS and/or Azure) is mandatory.

Candidates should have hands-on GenAI use cases and technologies such as Langchain, OpenAI, Bedrock, RAG use cases, multi-agent architectures. Modern development practices (CI/CD, DevOps, GitOps, Agile, etc.) are also essential.

A strong analytical and problem-solving skillset is necessary, as well as very good English skills. Availability to work in a hybrid mode with at least 1 visit in the office per month is required. Interest in working on GenAI, Data Platform, and Data Engineer projects is beneficial.