Machine Learning Engineer (LLM as a plus)
Data Science UA est une société de services dotée d'une solide expertise en science des données et en IA. Notre parcours a commencé en 2016 avec l'organisation de la première conférence Data Science UA, jetant les bases de notre croissance. Au cours des sept dernières années, nous avons encouragé avec diligence la plus grande communauté de science des données en Europe de l'Est, avec un réseau de plus de 30 000 ingénieurs de pointe en IA.
About the client:
Our client is a 100% Swiss-made company, tackling AI-driven cybersecurity projects.
About the role:
We are looking for a talented and motivated Junior Machine Learning Engineer to join the growing team.
It will be a hybrid work schedule, 2-3 days a week required to work from the office (Wrocław/Gdańsk/Kraków).
Requirements:
– 2 years of experience as a Machine Learning Engineer.
– Degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent practical experience.
– Good knowledge of deep learning, natural language processing (NLP) and/or LLMs.
– Proficiency in the software development in one or more programming languages (including Python).
– Minimal expertise in data analysis, data cleaning, LLM prompting and model development.
– Experience with database languages like SQL and commonly used Python libraries like Pandas and TensorFlow.
– Fluency in English.
Responsibilities:
– Collaborate with stakeholders to understand proposed use cases and translate them into actionable tasks for machine learning projects.
– Analyze and prepare data for modeling, including identifying proofs of concept (PoCs).
– Design and implement machine learning models, iteratively refining them to meet customer satisfaction.
– Build automated data pipelines to ingest and process structured and unstructured data from various sources.
– Document both the implemented machine learning models and data pipelines for clarity and future reference.
The company offers:
– Good compensation;
– Benefit package;
– Strong team and career growth.
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