✦ Luna Orbit — AI & Machine Learning

Machine Learning Engineer (People Tech, Intelligent Foundations & Experiences)

at Discover Financial Services

📍 2 Locations Unknown 💰 $135K – $154K USD / year Posted March 25, 2026
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Position Details

Salary $135K – $154K USD / year
Type Full-Time
Experience mid
Exp. Years 2+ years
Education Bachelor's Degree
Category AI & Machine Learning

About this role

This role involves designing and deploying machine learning models and systems at scale, focusing on data pipelines, cloud deployment, and model performance optimization.

Key Responsibilities

  • Design ML models
  • Build data pipelines
  • Deploy models in cloud
  • Collaborate with data science teams
  • Optimize model performance

Technical Overview

The technical environment includes Python, Scala, Java, ML frameworks like scikit-learn, PyTorch, TensorFlow, distributed computing with Spark and Dask, and cloud platforms such as AWS, Azure, and Google Cloud.

Ideal Candidate

The ideal candidate is a mid-level machine learning engineer with 2+ years of experience in developing data-intensive solutions, proficient in Python, Scala, or Java, and experienced with deploying ML models in cloud environments like AWS, Azure, or Google Cloud.

Must-Have Skills

Bachelor's Degree2+ years designing and building data solutions2+ years programming with PythonScalaor Java1+ year Machine Learning experience

Nice-to-Have Skills

Experience deploying ML solutions in AWSAzureor Google CloudExperience working with large code basesExperience with distributed computing

Tools & Platforms

PythonScalaJavascikit-learnPyTorchDaskSparkTensorFlowAWSAzureGoogle Cloud

Required Skills

PythonScalaJavaMachine LearningMLscikit-learnPyTorchDaskSparkTensorFlowcloud architecturesdata pipelinesCI/CD

Hard Skills

PythonScalaJavaMachine LearningMLscikit-learnPyTorchDaskSparkTensorFlowcloud architecturesdata pipelinesCI/CD

Soft Skills

collaborativeproblem-solvinglearning mindsetteamworkcommunication

Industry & Role

Industry Technology / Data Science
Job Function Develop and deploy scalable machine learning solutions in cloud environments
Role Subtype Machine Learning Engineer
Tech Domains Python, Scala, Java, TensorFlow, PyTorch, Spark, Dask, AWS, Azure, Google Cloud

Clearance & Visa

Clearance Required None
Visa Sponsorship No

Keywords for Your Resume

machine learning engineerMLdata solutionsdistributed computingPythonScalaJavaML frameworksPyTorchTensorFlowSparkDaskcloud architecturesdata pipelinesCI/CDbig datamodel deploymentcollaborativeteamworkmachine learningML engineer

Deal Breakers

Less than 2 years of experience, No experience with ML frameworks like scikit-learn, PyTorch, or TensorFlow, Lack of cloud deployment experience, No programming experience in Python, Scala, or Java

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