Purpose
The goal of the Machine Learning Engineer is to introduce new solutions based on machine learning, especially deep learning, to improve accuracy and efficiency of data analysis from data preparation, model training and testing to deployment in a productive environment.
Tasks

Applies supervised techniques, mostly deep learning techniques, for solving pattern recognition problems in ultrasound data (images, signals)
AI model training and research
Take ownership of end to end projects from proposing technical solutions, model development, technical project management, results communication to stakeholders, until handover the solution to the production team
Mentoring and support our Machine Learning junior members
Understands and interprets data to come up with optimal feature sets or images
Prepares datasets to train and validate models
Ensures quality of the developed prototypes by following good software practices and code reviews
Writes documentation of developed solutions and ensures knowledge transfer

Requirements





Bachelor’s or master's degree in computer science or a related field (PhD preferred)
Relevant work experience more than 5 years, in deep learning (preferred image related)
Experience working on end-to-end ML projects, from data collection to production-level deployment
Experience with image recognition, object detection, and other computer vision tasks.
Must be proficient in spoken and written English
Proficiency in

Python
PyTorch/TensorFlow/Jax
Experiment tracking (ex: W&B;, MLFLow or similar)

Nice to have

Be able to read SQL databases
2 years of experience with classical ML
Experience with big data tools like Apache Spark for data manipulation is a plus.
Cloud experience like: Azure ML, AWS sagemaker or Vertex AI

Skillset

Analytical mindset – Ability to break down complex problems and approach them with structured thinking
Curiosity & innovation – Passion for exploring new technologies and pushing boundaries in machine learning
Collabora

📌 Senior Machine Learning Engineer (Barcelona)
🏢 Ndt Global
📍 Barcelona