Experteer Overview
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In this role you will design and implement ML solutions to improve predictions based on user selections, handling large datasets and collaborating with the development team to deploy models in production. You will optimize models for accuracy and performance, monitor impact through data analysis, and document methodologies for team knowledge sharing. This position sits at the intersection of data science and engineering, contributing to scalable, production-ready ML systems. Barcelona-based team culture emphasizes collaboration and practical impact.
Compensaciones / Incentivos
• Design and implement ML algorithms that learn from user selections to improve future predictions
• Develop efficient retrieval solutions for identifying relevant candidates from datasets with millions of records
• Build, test,



and optimize ML models for accuracy and performance
• Collaborate with the development team to deploy ML solutions into production environments
• Continuously monitor and improve model performance using user feedback and data analysis
• Document processes, methodologies, and results to facilitate knowledge sharing within the team
Responsabilidades
• Strong proficiency in Python
• Experience xqbhyrx with TensorFlow, PyTorch, or Scikit-learn
• Experience with large-scale datasets and search/retrieval techniques
• Solid understanding of recommendation systems, ranking algorithms, or similar ML applications
• Proven ability to build, test, and optimize ML models for real-world applications
• Strong analytical and problem-solving skills with keen attention to detail
Requisitos principales
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📌 Data Scientist (Barcelona)
🏢 Mphasis
📍 Barcelona