✦ Luna Orbit — AI & Machine Learning

Senior Lead Machine Learning Engineer

at Discover Financial Services

📍 New York, NY Unknown 💰 $250K – $286K USD / year Posted March 19, 2026
Salary $250K – $286K USD / year
Type Not Specified
Experience lead
Exp. Years 8+ years
Education Bachelor's Degree
Category AI & Machine Learning

This role involves leading the development and deployment of machine learning models at scale, managing data pipelines, and guiding ML teams. The focus is on building robust, explainable AI solutions in a cloud environment.

  • Design and deploy ML models
  • Lead ML team efforts
  • Manage data pipelines
  • Ensure model explainability
  • Collaborate on AI innovations

The environment includes cloud platforms like AWS, Azure, GCP, big data tools, and programming in Python, Scala, and Java. The role emphasizes scalable ML systems, responsible AI, and model deployment.

The ideal candidate is a senior ML engineer with over 8 years of experience in designing and deploying machine learning solutions, leading teams, and working across cloud platforms like AWS, Azure, or GCP. They should have a strong background in big data and responsible AI practices.

8+ years of experience in data solutions4+ years programming in PythonScalaor Java3+ years building ML systems2+ years leading ML teamsexperience with cloud platforms (AWSAzureGCP)experience deploying ML solutionsknowledge of big data environmentsmodel development and deployment
Master's or doctoral degreeexperience with responsible and explainable AIexperience with production ML systems
AWSAzureGoogle Cloud PlatformPythonScalaJava
PythonScalaJavaMachine LearningML systemsDistributed computingModel deploymentModel trainingHyperparameter tuningModel validationBig dataData pipelinesCloud platformsResponsible AIExplainable AI
PythonScalaJavaMachine LearningML systemsDistributed computingModel deploymentModel trainingHyperparameter tuningModel validationBig dataData pipelinesCloud platformsAWSAzureGoogle CloudAIResponsible AIExplainable AI
leadershipcollaborationproblem-solvingcommunicationinnovative thinking
Industry Finance
Job Function Leading machine learning engineering and deployment
Role Subtype ML Engineer
Tech Domains Python, Scala, Java, AWS, Azure, Google Cloud Platform, Big Data
machine learningml engineerdistributed computingmodel deploymentmodel traininghyperparameter tuningmodel validationbig datadata pipelinescloud platformsawsazuregoogle cloudresponsible aiexplainable aileadershipml systemspythonscalajava

Less than 8 years of experience in data solutions, No experience with cloud platforms (AWS, Azure, GCP), Lack of leadership experience in ML, No programming experience in Python, Scala, or Java

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