Advanced Machine Learning Engineer

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

Descripción de la vacante

A data science firm in Spain is seeking a skilled Data Scientist to join their AI Engineering Team. The role involves designing and maintaining machine learning pipelines, analyzing data, and collaborating with stakeholders to implement technical solutions. Candidates should have strong programming skills, experience in NLP and machine learning, and a relevant degree. This position offers an opportunity to work on cutting-edge AI applications.

Formación

• At least 3 years of industrial experience in a data science or machine learning engineering role.
• Strong programming skills in Python or another high-level language.
• Familiarity with cloud-based infrastructure.

Responsabilidades

• Analyze and clean large datasets to optimize reusable ML models.
• Partner with stakeholders to translate business requirements into technical solutions.
• Develop data enrichment pipelines for enhanced insights.

Conocimientos

Data analysis

Machine Learning

NLP modeling

Programming in Python

Data cleaning

Cloud services

Version control (Git)

Educación

Bachelor's or Master's in Computer Science

Herramientas

Machine Learning frameworks

NLP libraries

Descripción del empleo

Job Title : Data Scientist

Our organization is seeking a skilled Data Scientist to join its AI Engineering Team. The successful candidate will design, construct, and maintain machine learning pipelines tailored for various AI applications.

As a key team member, the Data Scientist will be involved in every aspect of data science project development, from data analysis and model selection to building proofs of concept and refining pipelines.

About This Role :

• 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.
• Stay updated on AI, ML, and NLP advancements, incorporating emerging trends into processes.
• Lead efforts to optimize ML model performance through data analysis and validation in real-world applications.
• Demonstrate expertise in information retrieval and utilize techniques for extracting structured data from unstructured sources.
• Familiarity with cloud-based infrastructure and services.
• Experience with version control systems such as Git.
• 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.