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MACHINE LEARNING ENGINEER

Indeed
Full-time
Onsite
No experience limit
No degree limit
Pr. de María Pita, 2, 15001 A Coruña, Spain
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Description

Job Summary: EOS Spain is seeking a Machine Learning Engineer to design and develop advanced automation, data analysis, and data-driven decision-making solutions. Key Highlights: 1. Development of robust Python-based solutions to optimize processes. 2. Application of Data Science techniques for analysis and insights. 3. Working with large language models (LLMs) across various use cases. **Job Opportunities at EOS Spain:** changing finances for the better in A Coruña / Madrid We are looking to hire a Machine Learning Engineer to design and develop advanced solutions focused on process automation, data analysis, and information-based decision-making. **Key Responsibilities:** Develop robust Python-based solutions to automate and optimize processes. Apply Data Science techniques to analyze data, detect patterns, and generate insights. Build data pipelines, ETL processes, and system integrations. Integrate predictive analytics, classification, or optimization models into production environments. **Working with large language models (LLMs) in use cases such as:** Text processing and analysis. Automation of workflows involving unstructured information. Internal assistants and process-support tools. Collaboration with IT, Data, and business teams. What are the job requirements? Solid experience in Python. Knowledge of Data Science (data analysis, modeling, cleaning, and preparation). Experience with libraries such as pandas, numpy, scikit-learn, or similar. API integration, working with SQL/NoSQL databases, and Git. Mindset oriented toward productive and scalable solutions. Intermediate level of English. **Preferred Qualifications:** Practical experience with LLMs and/or NLP. Deployment of models or analytical components into production. Knowledge of MLOps or cloud environments. What can you expect at EOS? High-impact projects where Python and data are central. A solid, modern, and well-structured technology environment. On-site work with up to 50% remote work. Real exposure to Data Science and LLM-based solutions. **Working Hours:** Monday–Thursday 9:00–18:00, Friday 8:30–15:00. Reduced summer schedule. You will be eligible for a flexible compensation plan including meal vouchers, transportation, childcare, and health insurance, as well as access to exclusive employee offers from EOS. Email Facebook Linkedin Twitter EOS Spain People & Culture **Phone:** +34 981 079 957 [email protected]

Source:  indeed View original post
David Muñoz
Indeed · HR

Company

Indeed
David Muñoz
Indeed · HR
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