GM Financial

Machine Learning Operations Engineer II

GM Financial

full-time

Posted on:

Location Type: Hybrid

Location: Irving • Texas • United States

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Tech Stack

AzureCloudDockerKubernetesPythonSparkSQL

About the role

  • Design, build, and operate cloud-based MLOps capabilities that support the full lifecycle of analytical and generative AI models
  • Blend machine learning engineering, data engineering, and software engineering with a focus on automation, scalability, governance, and production readiness
  • Work with technologies such as MLflow, Databricks, Azure Machine Learning, CI/CD pipelines, containerization, and event-driven architectures
  • Partner closely with data science, IT, and business teams to deliver secure, compliant, and high-impact AI solutions

Requirements

  • 2-4 years as Data Scientist or machine learning engineer or similar quantitative field required
  • High School Diploma or equivalent required
  • Master’s Degree in the field of Computer Science/Engineering, Analytics, Mathematics, or related discipline preferred, PhD preferred
  • Proven hands-on experience across the full ML/MLOps lifecycle, including MLflow and platforms such as Databricks, Azure ML, or SageMaker
  • Experience operationalizing GenAI solutions, including LLM patterns (e.g., RAG), prompt/version management, evaluation, safety, and monitoring
  • Strong software and cloud engineering fundamentals, including CI/CD, containerization (Docker), and Kubernetes (AKS)
  • Experience with event-driven and streaming architectures and modern cloud-native design patterns
  • Advanced skills with Python, SQL, and large-scale data platforms (e.g., Spark, Delta, lakehouse architectures)
  • Ability to clearly communicate technical trade-offs and connect AI delivery to business and financial outcomes.
Benefits
  • Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learning engineeringdata engineeringsoftware engineeringMLOpsPythonSQLCI/CDcontainerizationKuberneteslarge-scale data platforms
Soft Skills
communicationcollaborationproblem-solvingtechnical trade-offs
Certifications
Master’s DegreePhD