✦ Luna Orbit — AI & Machine Learning

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS)

at Capital One Financial

📍 4 Locations Unknown 💰 $197K – $225K USD / year Posted March 13, 2026
Salary $197K – $225K USD / year
Type Full-Time
Experience mid
Exp. Years 6+ years
Education Bachelor's in a relevant field
Category AI & Machine Learning

This role involves designing, building, and deploying Generative AI applications and ML systems at scale, focusing on cloud-native architectures and automation.

  • Design ML models
  • Build scalable ML platforms
  • Implement MLOps practices
  • Collaborate with AI teams
  • Ensure high availability of AI solutions

The position requires expertise in Python, Go, Scala, Java, container orchestration with Kubernetes, ML serving frameworks like KNative and KServe, and MLOps practices.

The ideal candidate is a mid-level ML engineer with 6+ years of experience in designing data solutions, strong programming skills in Python, Scala, or Go, and experience with ML deployment and cloud-native tools like Kubernetes and KNative.

Bachelor's Degree6+ years designing data solutions4+ years programming in PythonScalaGoor Java2+ years building ML systems
Master's or Doctoral DegreeML frameworks like scikit-learnData pipelinesML deploymentKubernetesKNativeKServeML Ops
DockerKubernetesKNativeKServeArgoCDIstioCloud-native platforms
PythonGoScalaJavaDockerKubernetesKNativeKServeML deploymentMLOpsGitOpsArgoCDIstioData pipelines
PythonGoScalaJavaDockerKubernetesKNativeKServeML serving architectureMLOpsGitOpsArgoCDIstioData pipelinesDistributed computingMachine learningAIGenerative AI
CollaborationProblem-solvingInnovationTechnical designTeamwork
Industry Financial Technology (Fintech), Data Science
Job Function Develop and deploy scalable Generative AI and ML systems
Machine Learning EngineerGenAIKNativeKServeML systemsML deploymentKubernetesDockerArgoCDIstioData pipelinesDistributed computingAIGenerative AI

Lack of experience with ML systems, Less than 2 years building ML systems, No experience with Kubernetes or KNative

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