✦ Luna Orbit — AI & Machine Learning

Senior Lead, Machine Learning (GenAI, Python, AWS)

at Discover Financial Services

📍 3 Locations Unknown 💰 $229K – $262K USD / year Posted March 26, 2026
Salary $229K – $262K USD / year
Type Not Specified
Experience lead
Exp. Years 8+ years
Education Not specified
Category AI & Machine Learning

This senior role involves designing and productionizing large-scale machine learning applications, focusing on GenAI and cloud architectures, with leadership responsibilities.

  • Design ML solutions
  • Review architecture
  • Deploy models at scale
  • Ensure high availability
  • Lead ML engineering projects

Focuses on ML model development, deployment, and system architecture in AWS cloud environment, emphasizing high availability and scalable AI solutions.

The ideal candidate is a senior ML engineer with extensive experience in deploying scalable machine learning solutions on AWS, with a strong background in GenAI and high availability systems, capable of leading architecture reviews and production deployments.

Experience designing and building ML solutionsExperience with cloud platforms like AWSExperience in productionizing ML applications
PhD in related fieldExperience with GenAIModel review and architecture designHigh availability systems
AWSPythonGenAI frameworks
PythonAWSMachine LearningGenAIModel deploymentCloud architecturesHigh availability systems
PythonAWSMachine LearningGenAIAIModel deploymentML engineeringCloud architectures
LeadershipCollaborationInnovationProblem-solvingTechnical expertise
Industry Financial Services / Fintech
Job Function Leading scalable ML application deployment and architecture design in cloud environments
Role Subtype AI & Machine Learning
Tech Domains Amazon Web Services, Python, Machine Learning, GenAI
machine learningGenAIPythonAWScloud architecturesML engineeringmodel deploymenthigh availabilityAI solutionsproduction MLleadcloud platformsmodel reviewsystem designscaling MLbig data

Lack of experience with AWS or cloud platforms, No experience in ML deployment or architecture, No leadership or senior-level experience

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