Tasks

The Role: As AI Architect / Machine Learning Engineer, you will drive the development and deployment of sophisticated AI systems that are revolutionizing healthcare diagnostics. You will play a crucial role in our dynamic team, where every challenge is an opportunity for innovation.

Your Path to Impact:

Short Term:

• 
  
• Design and deploy AI-based systems, optimizing operations for maximal integration and efficiency.
• 
  
• Lead the creation of robust AI infrastructure, providing a fertile ground for machine learning advancements.
• 
  
• Analyze data deeply to influence strategic decisions and communicate actionable insights to stakeholders.
• 
  

Long Term:

• 
  
• Direct high-impact projects aligning with our strategic objectives to maintain and expand our technological lead.
• 
  
• Develop comprehensive roadmaps for all AI projects, ensuring they meet our ambitious healthcareinnovation goals.
• 
  
• Uphold the highest standards of ethics and compliance in all AI initiatives, guiding the future of ethical AI in healthcare.
• 
  

Requirements

What You bring to the Team:

Essential Qualifications:

• 
  
• Advanced degree in medical informatics, bioinformatics (or another life science field), or in medical documentation, data science, computer science or equivalent
• 
  
• Hands-on experience with data modeling and ideally the use of medical data standards (HL7 FHIR, CDISC ODM, etc.).
• 
  
• Proficiency in computational modeling and familiarity with medical ontologies (SNOMED CT, ICD-10, LOINC,
• 
  
• 
  
• etc.).
• 
  
• Agile and structured problem-solving approach, with a proven record of taking on substantial responsibilities.
• 
  

Preferred Experience:

• 
  
• Stay informed on AI research trends, particularly in Safe AI, Ethical AI, and Fair AI.
• 
  
• Experience with Cloud AI/ML services (AWS, GCP, Azure) and Big Data technologies.
• 
  
• Understanding of the software development lifecycle and agile project methodologies.