AI/ML Developer (Medical Quality Management)

Company Background

Our client is one of the leading providers for quality management solutions (QMS). Their primary customers are pharma and medical companies. They support more than 700 on-premise and cloud implementations in more than 30 countries across the world. The client offers analytical solutions that help their customer to lower risk, increase efficiency allowing manufacturers, suppliers, and distributors to collaborate in a seamless and integrated environment.

Project Description

Our goals are:


  • To integrate data from multiple data sources by building AWS hosted data lake, which should enable data exploration for Data Science team;
  • To get insights from the Data and build dedicated ML-based algorithms and models to automate defect identification and classification;
  • To streamline and speed up root cause analysis.
Amazon Web Services
Amazon Sagemaker
Job Requirements

Required skills:


  • BS or higher in Computer Science, Statistics, Applied Math or related field;
  • Strong analytical and problem-solving skills
  • Fluent in Python;
  • Extensive background in Machine learning, NLP and statistical analysis;
  • Excellent pattern recognition and predictive modeling skills;
  • Expertise in PyTorch, Tensorflow and other well-known Machine Learning (ML) libraries;
  • Ability to collaborate with subject matter experts in defining appropriate features and metrics for a given model;
  • Excellent communication and presentation skills;
  • Proven ability to communicate complex technical work to a non-technical audience;
  • Ability to mentor team members;


Preferred Skills:


  • Scrum/Agile product development exposure;
  • Ability to work with cross-functional teams in a highly collaborative manner;
  • Experience with Amazon Web Services, Amazon Sagemaker;


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