Senior Machine Learning, Barcelona
Empresa
Michael Page
Provincia
Barcelona
Ciudad
Barcelona
Tipo de Contrato
Tiempo Completo
Salario
Entre 48000 Euros y 72000 Euros Bruto/año
Descripción
Senior Machine Learning
Perfil buscado (Hombre/Mujer)
Design and develop machine learning and deep learning models for pattern recognition in complex datasets (signals and images)
Lead end-to-end ML projects, from data acquisition and preprocessing to model deployment in production environments
Analyze and interpret ultrasonic and sensor data to generate optimal features and representations
Conduct research and experimentation to improve model performance and scalability
Collaborate with cross-functional teams to translate business needs into technical solutions
Ensure high-quality code through best practices, testing, and peer reviews
Document solutions and support knowledge sharing within the team
Mentor junior team members and contribute to technical excellence
Work on cutting-edge AI applied to real-world industrial challenges, leveraging
Join a highly innovative, international environment where you will own end-to-en
Bachelors or Masters degree in Computer Science, Engineering, or a related field (PhD is a plus)
+5 years of hands-on experience in Machine Learning, with a strong focus on Deep Learning
Proven experience delivering ML solutions end-to-end, from data preparation to production
Strong background in computer vision tasks such as image recognition and object detection
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
Experience with experiment tracking tools (e.g., MLflow, Weights Biases)
Solid analytical mindset with the ability to work on complex, non-standard datasets
Strong communication skills and ability to work in international environments
Fluent English
Nice to have:
Experience with SQL and big data tools (e.g., Apache Spark)
Exposure to cloud platforms such as AWS, Azure, or GCP
Our client is a global technology leader specializing in advanced diagnostic and inspection solutions for critical infrastructure within the energy sector. With a strong focus on innovation and R D, the company combines cutting-edge sensing technologies and AI-driven analytics to deliver predictive insights that improve asset integrity, operational efficiency, and environmental sustainability.
Opportunity to work on high-impact, real-world AI applications in a cutting-edge industrial domain
Strong ownership of projects with end-to-end responsibility
Collaborative and international team environment
Exposure to advanced technologies and continuous innovation
Career growth in a highly specialized and future-oriented field
Flexible working environment and modern technical stack
Machine Learning, Python, PyTorch, TensorFlow
Perfil buscado (Hombre/Mujer)
Design and develop machine learning and deep learning models for pattern recognition in complex datasets (signals and images)
Lead end-to-end ML projects, from data acquisition and preprocessing to model deployment in production environments
Analyze and interpret ultrasonic and sensor data to generate optimal features and representations
Conduct research and experimentation to improve model performance and scalability
Collaborate with cross-functional teams to translate business needs into technical solutions
Ensure high-quality code through best practices, testing, and peer reviews
Document solutions and support knowledge sharing within the team
Mentor junior team members and contribute to technical excellence
Work on cutting-edge AI applied to real-world industrial challenges, leveraging
Join a highly innovative, international environment where you will own end-to-en
Bachelors or Masters degree in Computer Science, Engineering, or a related field (PhD is a plus)
+5 years of hands-on experience in Machine Learning, with a strong focus on Deep Learning
Proven experience delivering ML solutions end-to-end, from data preparation to production
Strong background in computer vision tasks such as image recognition and object detection
Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)
Experience with experiment tracking tools (e.g., MLflow, Weights Biases)
Solid analytical mindset with the ability to work on complex, non-standard datasets
Strong communication skills and ability to work in international environments
Fluent English
Nice to have:
Experience with SQL and big data tools (e.g., Apache Spark)
Exposure to cloud platforms such as AWS, Azure, or GCP
Our client is a global technology leader specializing in advanced diagnostic and inspection solutions for critical infrastructure within the energy sector. With a strong focus on innovation and R D, the company combines cutting-edge sensing technologies and AI-driven analytics to deliver predictive insights that improve asset integrity, operational efficiency, and environmental sustainability.
Opportunity to work on high-impact, real-world AI applications in a cutting-edge industrial domain
Strong ownership of projects with end-to-end responsibility
Collaborative and international team environment
Exposure to advanced technologies and continuous innovation
Career growth in a highly specialized and future-oriented field
Flexible working environment and modern technical stack
Machine Learning, Python, PyTorch, TensorFlow