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Machine Learning Operations Engineer II
GM Financial. Build and maintain scalable, cloud-based MLOps platforms supporting analytical and GenAI models end to end .
Tech Stack
Tools & technologiesAzureCloudDockerKubernetesPythonSparkSQL
About the role
Key responsibilities & impact- Build and maintain scalable, cloud-based MLOps platforms supporting analytical and GenAI models end to end
- Develop production-ready ML pipelines for training, deployment, monitoring, governance, and lifecycle automation
- Improve the speed, quality, and reliability of model development, experimentation, and operations
- Partner with model governance, security, and compliance teams to define and enforce MLOps standards
- Collaborate with data science, engineering, and business stakeholders to deliver solutions aligned to business needs
- Research, prototype, and evolve MLOps capabilities to drive innovation and measurable business value
Requirements
What you’ll need- 2-4 years as Data Scientist, machine learning engineer, or in a similar quantitative field required
- High School Diploma or equivalent required
- Master’s Degree in 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 such as RAG, prompt/version management, evaluation, safety, and monitoring
- Strong software and cloud engineering fundamentals, including CI/CD, 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 such as Spark, Delta, and lakehouse architectures
- Ability to clearly communicate technical trade-offs and connect AI delivery to business and financial outcomes
- Unable to consider candidates who require visa sponsorship
- Position is not open to agency submissions
Benefits
Comp & perks- 401K matching
- Bonding leave for new parents: 12 weeks, 100% paid
- Tuition assistance
- Training
- GM employee auto discount
- Community service pay
- Nine company holidays
- Bonus eligibility
- Flexible hybrid work environment