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Senior Machine Learning Engineer at DigestAID

72% Flex
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Portugal

Offer summary

Qualifications:

Degree in software engineering or data science studies, or equivalent professional experience., Experience with cloud infrastructure and development., Fluent in Python., Experience with GPU-accelerated training of deep learning models..

Key responsabilities:

  • Design, lead, and coordinate software solutions for AI models in Google Cloud services.
  • Develop image pre-processing pipelines and enhance dataset quality.
  • Collaborate with engineers, scientists, and doctors to improve endoscopy products using Computer Vision.
DIGESTAID - Digestive Artificial Intelligence Development logo
DIGESTAID - Digestive Artificial Intelligence Development
11 - 50 Employees
About DIGESTAID - Digestive Artificial Intelligence Development
DIGESTAID – Digestive Artificial Intelligence Development – is a company dedicated to the development of AI platforms with the aim of improving digestive healthcare. Our team of physicians, network engineers and data scientists strive to produce deep learning solutions for automatic detection and characterization of lesions across different fields of Gastroenterology and Digestive Endoscopy, supporting the physician in the decision process. Our highly motivated and multidisciplinary team mainly focus in a non-invasive AI lesion detection/differentiation software solution for the entirety of the digestive tube as well as pancreatobiliary lesion characterization.Our main goals are to improve diagnostic accuracy, reduce medical error, improve workflow efficiency, reduce costs while ultimately contributing to improve patient experience and outcome. Our motto is to provide higher accuracy in digestive endoscopy, improved medical decisions and to spare time and valuable health human resources
See more DIGESTAID - Digestive Artificial Intelligence Development offers

Job description

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Your missions

About Us

DIGESTAID is a startup focused on the development of Artificial Intelligence solutions for application to several fields of digestive health. Our main drive is to overcome the diagnostic limitations of multiple endoscopic methods, from capsule endoscopy to digital cholangioscopy. We have secured seed funding, and we are looking for top talent interested in working in AI for good, who have the drive to take the business to new heights and deliver new products.

About the role

You will work with a multidisciplinary team of engineers, scientists and doctors to build and improve our endoscopy product range, which relies heavily on Computer Vision. Your goal is to design, coordinate and lead the development of software solutions for creating and serving AI models that could be run in Google Cloud services or compute instances. You will also ensure a data-centric approach to Machine Learning, developing image pre-processing pipelines and improving dataset quality.


Requirements
  • Degree in software engineering or data science studies, or equivalent professional experience.
  • Experience designing and implementing data pipelines for ingestion, pre-processing and ML model training
  • Fluent in Python
  • Experience with cloud infrastructure and development.
  • Experience with GPU-accelerated training of deep learning models.
  • Eagerness and openness to learn whatever is necessary to deliver.
  • Good knowledge of MLOps practices
  • Good English communication skills
Desirable
  • Familiarity with the Google Cloud ecosystem for ML and web applications
  • Experience in system design for the entire machine learning lifecycle, including serving, model selection, and monitoring
  • Working knowledge of PyTorch in production environments.
  • Working knowledge of pipeline orchestration tools such as Airflow and Kubeflow
  • Knowledge of explainable AI methodologies in image classification
  • Experience in API development, with special emphasis on inference serving.
  • Experience with Infrastructure-as-code (Terraform)

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

AirflowCloud Infrastructure ManagementGPU ProgrammingMLOpsData PipelinesPythonGoogle Cloud Platform (GCP)PyTorchKubernetesTerraform

Soft Skills

  • Proactive Mindset
Are you interested?

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