Senior Machine Learning Operations Engineer

Location: Irving, TX, United States; Hybrid

Why GMF Technology?

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry. 
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

 

This position will be posted until filled. 

About the Role

Apply AI/ML Engineering, Data Science, and Data Engineering practices to design, develop, test, launch, and maintain ML and LLM Operations capabilities. This position requires an understanding of the Data Science model development and Gen AI/LLM driven workflow lifecycle, MLFlow features, and the benefits of AI/ML product development and deployment. A general understanding of cloud architectures, software development principles CI/CD, deployment, APIs, microservices, Data and Dev ops, and Event-driven architectures is highly desirable. The ability to deliver solutions that are based on a business understanding is essential. Key responsibilities include enabling ML model and LLM-driven automation, and deployment to meet operational requirements like scalability, robustness, reusability, reproducibility, compliance, and responsible AI. This position requires expertise and passion for working in agile teams to plan effectively, collaborating with broader cross-functional teams, and successfully deliver mission-critical Data and AI projects. The Senior Machine Learning Operations Engineer is the subject matter expert in MLOps and LLMOps. They have good understanding of tools and technologies used to manage AI and ML Model Lifecycles. Provide technical support and coach junior ML Ops engineers.

The Senior Machine Learning Operations Engineer is responsible for designing, deploying, and optimizing scalable AI, machine learning, and generative AI solutions by applying MLOps, LLMOps, data engineering, and software engineering best practices. This role supports the end-to-end lifecycle of machine learning models and LLM-driven applications, enabling reliable, secure, and compliant deployment of AI capabilities while driving automation, scalability, and operational excellence. As a subject matter expert, the engineer collaborates with cross-functional teams, leads mission-critical AI initiatives, and provides technical guidance and mentorship to advance the organization’s AI and machine learning capabilities.