Machine Learning Expert

beBeeDataScientist; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A leading data analytics company in Barcelona seeks a Data Scientist to design and maintain machine learning pipelines for AI applications. The ideal candidate will collaborate with cross-functional teams and optimize ML models for real-world applications. Strong programming skills in Python and experience with NLP frameworks are required. Join a dynamic team to enhance data-driven insights in the organization.

Formación

• At least 3 years of experience in data science or machine learning engineering.
• Strong skills in Python or another high-level language for machine learning.
• Experience with NLP and extracting structured data from unstructured sources.

Responsabilidades

• Maintain data pipelines supporting ML models for information retrieval.
• Analyze and clean large datasets for ML model optimization.
• Collaborate with teams to translate business requirements into technical solutions.

Conocimientos

Python programming

Machine Learning frameworks

Natural Language Processing

Data analysis

Educación

Bachelor's or Master's degree in Computer Science or related field

Herramientas

PyTorch

spaCy

scikit-learn

Git

Descripción del empleo

About Dow Jones

Global Provider of News and Business Information :

We deliver high-quality content to consumers and organizations around the world across multiple formats.

Our news-gathering operations are one of the largest globally, producing unrivaled quality content for over 130 years.

Job Role : Data Scientist on AI Engineering Team

You will design, construct, and maintain machine learning pipelines tailored for various AI applications, focusing on Natural Language Processing.

Collaborate with our engineering team to integrate machine learning models, optimize performance, and ensure effective real-world application of machine learning solutions.

Responsibilities

• Maintain robust data pipelines supporting various ML models, focusing on information retrieval applications.
• Analyze and clean large datasets to optimize reusable ML models.
• Partner with stakeholders across the organization to translate business requirements into technical solutions.
• Utilize analytical skills for NLP modeling, algorithm selection, and POC development.
• Develop data enrichment pipelines to enhance insights aligned with strategic objectives.
• Collaborate with cross-functional teams to address the organization's data-driven needs, managing significant volumes of structured and unstructured data.
• Integrate diverse ML models into systems, ensuring interoperability and performance optimization.
• Lead efforts to optimize ML model performance through data analysis and validation in real-world applications.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field.
• At least 3 years of industrial experience in a data science or machine learning engineering role.
• Strong programming skills in Python and / or another high-level language commonly used in machine learning.
• Experience with NLP and Machine Learning frameworks and libraries (e.g., PyTorch, HuggingFace, LangChain, spaCy, NLTK, scikit-learn, etc.).
• Demonstrated understanding of various techniques for extracting structured data from unstructured sources, indicating expertise in information retrieval.
• Familiarity with LLMs APIs for pre-processing, fine-tuning, and deploying models on cloud-based infrastructure.
• Familiarity with cloud-based infrastructure and services (e.g., AWS, GCP, etc.).
• Experience with version control systems such as Git.