Machine Learning Engineer (LLM as a plus)
Data Science UA es una empresa de servicios con una sólida experiencia en ciencia de datos e IA. Nuestro viaje comenzó en 2016 con la organización de la primera conferencia de Data Science UA, sentando las bases de nuestro crecimiento. En los últimos 7 años, hemos fomentado diligentemente la mayor comunidad de ciencia de datos de Europa del Este, que cuenta con una red de más de 30 000 ingenieros de alto nivel 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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