Machine Learning Engineer

Cure Talent is excited to partner with TympaHealth, a rapidly growing medical technology company that is transforming hearing healthcare. We are seeking a Machine Learning Engineer / AI Engineer to join their talented team, working on cutting-edge machine learning models for image and audio analysis.

The successful Machine Learning Engineer / AI Engineer will play a crucial role in developing, deploying, and optimising AI-driven insights to enhance business processes and support data-driven decision-making. This is a hands-on position where you'll collaborate closely with cross-functional teams to integrate machine learning models into real-world applications.

Key Responsibilities:

• Develop AI models for classification, segmentation, and processing of image and audio data.
  
  
• Optimise machine learning models to ensure peak performance.
  
  
• Work closely with software development teams to integrate AI models into applications.
  
  
• Collect, clean, and manipulate data from multiple sources (SQL, Excel, Salesforce, etc.).
  
  
• Contribute to the development and maintenance of the company’s Data Lakehouse and centralised data store.
  
  
• Stay up to date with the latest developments in AI, machine learning, and data engineering.
  
  We’re looking for a Machine Learning Engineer / AI Engineer with:
  
  
• Strong proficiency in deploying cloud-based machine learning pipelines, particularly on Google Cloud Platform (GCP) and Vertex AI.
  
  
• Extensive experience in Python programming and using Jupyter notebooks.
  
  
• Deep expertise in deep learning frameworks such as Keras, PyTorch, and CoreML.
  
  
• Strong knowledge of image processing techniques and algorithms.
  
  
• Experience in data wrangling, processing, and technical documentation.
  
  
• The ability to communicate complex technical concepts to non-technical stakeholders.
  
  If you’re a Machine Learning Engineer / AI Engineer ready to work on innovative AI-driven solutions in a fast-paced MedTech environment, we’d love to hear from you