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DATA SCIENTIST AND MACHINE LEARNING ENGINEER (Applied Artificial Intelligence)

Centre Tecnològic de la Química a Catalunya

Barcelona

Híbrido

EUR 30.000 - 45.000

Jornada completa

Hoy
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Descripción de la vacante

A leading technology research organization in Barcelona is seeking a Data Scientist and Machine Learning Engineer to develop innovative AI and ML solutions across industrial sectors. The role offers a hybrid work model and emphasizes collaboration, creativity, and commitment to a sustainable future. Candidates should have an MSc or equivalent, with at least 2 years of experience in machine learning.

Servicios

Permanent contract
Flexible schedules
Training opportunities
Commitment to work-life balance

Formación

  • Minimum 2 years of practical experience in Machine Learning and Deep Learning.
  • Ability to convey complex ideas clearly.
  • Open-mindedness to learn about industrial processes.

Responsabilidades

  • Develop data-driven solutions using multimodal data.
  • Perform TimeSeries analytics with RNNs and Autoencoders.
  • Writing robust, validated code to support innovations.

Conocimientos

Passion for Data Science and ML
Communication skills
Critical thinking
Teamwork

Educación

MSc or equivalent in ML, AI, Computer Vision

Herramientas

Python
Descripción del empleo
Overview

DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI)

Join to apply for the DATA SCIENTIST AND MACHINE LEARNING ENGINEER (AAI) role at EURECAT.

About EURECAT

Eurecat is the second-largest Research & Technology Organisation in Spain and a leading applied research and technology transfer organization in Southern Europe. It employs over 800 professionals, generating an annual turnover of 69 million euros, and serves more than 2,000 companies. Eurecat specializes in digital technologies, biotechnology, industry, and sustainability, collaborating on R&D projects with a focus on innovation and technological advancement.

Job Description

Are you ready to explore and implement innovative Machine Learning and AI solutions in process monitoring, control, and optimization across various industrial sectors? The Applied Artificial Intelligence Unit at EURECAT seeks a motivated Data Scientist and Machine Learning Engineer to drive industry transformation towards a smarter and more sustainable future.

Key Focus Areas
  • Revolutionizing industrial processes through algorithms and data analytics.
  • Applying AI techniques in Industrial Control Systems, including sensor fusion, model predictive control, and self-optimizing processes.
  • Advancing Zero-Defect Manufacturing via quality prediction, resource optimization, and predictive maintenance.
  • Collaborating within a multidisciplinary team to foster innovation and growth.
Responsibilities
  • Developing data-driven solutions using multimodal data in industrial contexts.
  • Performing TimeSeries analytics with tools like Recurrent Neural Networks and Autoencoders.
  • Writing robust, validated code to support innovations.
  • Publishing scientific research and sharing insights with the community.
  • Adapting responsibilities based on individual strengths and project needs.
  • Leading projects and managing tasks effectively.
What EURECAT Offers

We develop innovative AI and ML solutions for industrial, energy, and sustainability sectors, with over 12 years of experience. Benefits include a permanent contract, hybrid work model, flexible schedules, training opportunities, and a commitment to work-life balance.

Minimum Requirements
  • Passion for Data Science and ML, with an MSc or equivalent in ML, AI, Computer Vision, or related fields.
  • Minimum 2 years of practical experience in Machine Learning and Deep Learning.
  • Proficiency in Python.
  • Open-mindedness and eagerness to learn about industrial processes.
  • Teamwork and independent working skills.
  • Strong communication skills to convey complex ideas.
  • Creativity, flexibility, and a drive to innovate.
  • Critical thinking abilities.
  • Willingness to travel when necessary.
Additional Details
  • Seniority Level : Entry level
  • Employment Type : Contract
  • Job Function : Engineering and IT
  • Industry : Research Services
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