Data Scientist

UL Solutions; Barcelona; Presencial; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

A global leader in safety science is seeking a Machine Learning Engineer in Barcelona, Spain, to design and develop AI models, collaborate with teams, and deploy solutions into the cloud. The ideal candidate should have a bachelor's degree in a relevant field and extensive experience in machine learning techniques, Python programming, and cloud platforms. Join the innovative team to help create a safer, more sustainable world through cutting-edge technology.

Formación

• Minimum of a bachelor's degree in Data Analytics, Data Science, Computer Science, or any related field.
• Experience using statistical computer languages to query databases and manipulate data.
• Strong programming skills in Python and knowledge of cloud platforms for AI deployment.

Responsabilidades

• Design and develop AI models using Machine Learning and Deep Learning techniques.
• Collaborate with Data Scientists and Machine Learning Engineers to integrate AI solutions.
• Deploy AI models into the cloud ensuring reliability and security.

Conocimientos

Machine Learning

Deep Learning

Natural Language Processing

Python

Data Analytics

Agile methodology

Data Visualization

Educación

Bachelor's degree in Data Analytics, Data Science, or related field

Herramientas

TensorFlow

PyTorch

Keras

AWS

Azure

Google Cloud

Descripción del empleo

Responsibilities

• Design and develop AI models using Machine Learning, Deep Learning, Generative AI, and Natural Language Processing techniques.
• Train, test, and optimize algorithms and Large Language Models to ensure accuracy, scalability, and efficiency.
• Collaborate with Data Scientists and Machine Learning Engineers to integrate AI solutions into production systems.
• Deploy AI models into cloud, ensuring reliability and security.
• Strong capability to coordinate and communicate with colleagues across diverse geographic regions and time zones.

Qualifications

• Minimum of a bachelor's degree in Data Analytics, Data Science, Computer Science, or any other related field of science.
• Experience using statistical computer languages to query databases, manipulate data, and draw insights from large data sets.
• Experience with a variety of machine learning techniques and their real‑world advantages / drawbacks.
• Detailed knowledge of machine learning evaluation metrics and best practices.
• Strong problem‑solving with an emphasis on product development, good analytical communication skills.
• Strong programming skills in Python, Prompt Engineering, Continuous Integration and Continuous Delivery (or Continuous Deployment), and knowledge of cloud platforms (AWS, Azure, Google Cloud) for AI deployment.
• Expertise in Large Language Model (LLM) APIs, Machine Learning frameworks (TensorFlow, PyTorch, Keras, etc.) and MLOps for Generative AI.
• Experience of working in an Agile environment for applied research.
• Experience with data visualization tools and techniques.
• Demonstrated effective interpersonal, influencing, collaboration, and listening skills.
• Ability to articulate an idea with strong communication and presentation skills.
• Work as part of a small team, sharing ideas and contributing to the strategic goals.

What you’ll experience working for UL Solutions

UL Solutions has been pioneering change since 1894 as a global leader in safety science. From day one, we’ve protected the planet by innovating solutions that safeguard people, data, and the environment. As a member of our safety science community, you’ll use your ideas, energy, and ambition to innovate, challenge, and ultimately help create a safer, more sustainable world.

Everyone here is unique, yet we work together across diverse backgrounds to deliver real change. Join UL Solutions to connect with the brightest minds and empower our customers to keep the world safe through training, innovation, and shared vision.

To learn more about us and the work we do, visit UL.com

UL Solutions (NYSE : ULS) transforms safety, security, and sustainability challenges into opportunities for customers in more than 110 countries. We deliver testing, inspection, and certification services, along with software products and advisory offerings that support customers’ product innovation and business growth.