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Machine Learning Engineer

4 tygodni temu

Warsaw, Polska Data Science UA Pełny etat

About us:
Data Science UA  is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.
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.
The company offers:
- Good compensation;
- Benefit package;
- Strong team and career growth.

- 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

About us:
Data Science UA  is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.
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.
The company offers:
- Good compensation;
- Benefit package;
- Strong team and career growth.
,[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.] Requirements: Machine Learning, Deep learning, Natural language processing, Python, SQL, pandas, TensorFlow, LLM, Data analysis