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hace 2 meses
We are seeking a highly motivated and experienced Data Scientist and Machine Learning Engineer to join our Applied Artificial Intelligence Unit at Eurecat. As a key member of our team, you will play a crucial role in developing innovative AI-driven solutions for the industrial, energy, and sustainability sectors.
Key Responsibilities- Design and implement advanced machine learning algorithms and models to drive business value and improve operational efficiency.
- Develop and deploy deep learning techniques, including Recurrent Neural Networks and Autoencoders, to solve complex problems in energy optimization and digital twins.
- Conduct research and stay up-to-date with the latest trends and advancements in artificial intelligence, machine learning, and related fields.
- Collaborate with cross-functional teams to apply AI techniques to real-world challenges and projects.
- Contribute to the development of new technologies and solutions that drive business growth and sustainability.
As a Data Scientist and Machine Learning Engineer at Eurecat, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to the development of innovative AI solutions. Our team is committed to fostering a culture of innovation, collaboration, and continuous learning.
Requirements- Master's degree in Machine Learning, Artificial Intelligence, Computer Vision, or a related field.
- Proven experience in machine learning, deep learning, and AI development.
- Strong programming skills in Python, with experience in libraries such as Numpy, Pandas, Matplotlib, Scikit-Learn, and SciPy.
- Knowledge of mathematical optimization and its implementation in Python with libraries like Pyomo or PuLP.
- Experience with deep learning libraries such as Keras, PyTorch, and Tensorflow.
- Excellent communication and collaboration skills, with the ability to effectively convey complex ideas to both technical and non-technical stakeholders.
- Fluency in English, Catalan, and Spanish.
