Senior Machine Learning Operations Engineer

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.

In this role you will:

• Develop enterprise-wide and scalable cloud-based MLOps, LLMOps capabilities that span the full life cycle of Machine Learning, Deep Learning and Generative AI models
• Develop reusable, secure, and robust AI and ML pipelines, monitor model performance, monitor data drift, utilize insights to train models, enable automatic audit trails, LLM traces creation for all artifacts, deploy across a wide range of business applications, and sustain a high level of automation across all AI/ML lifecycle activities. This includes developing code and making sure that AI/ML models are production ready
• Continuously improve the speed, quality, and efficiency of model/experiments development, production, and maintenance
• Collaborate with Model Management/Governance to develop and maintain enterprise-wide MLOps and LLMOps standards
• Collaborate with internal stakeholders and vendors in developing MLOps and LLMOps solutions that meet business requirements across a variety of areas including, but not limited to, Data Science, IT, Cybersecurity, Compliance, and Legal
• Maintain up to date knowledge about the latest advances in AI and ML Engineering, engage stakeholders, and champion proactive measures to sustain a cost effective, efficient, and innovative MLOps and LLMOps capabilities
• Develop and maintain a deep understanding of business requirements to ensure that MLOps and LLMOps solutions deliver practical and timely value
• Conduct AI and ML Engineering research and proof of concept projects to improve practice and develop business cases that support business needs
• Develop and apply algorithms that generate success metrics to improve the value of MLOps and LLMOps business function
• Presents findings and analysis for use in decision making and demonstrate bottom-line financial benefits (ROI)
• Collaborate with Business Teams, Data Architects, Data Engineers, Data Science and Cloud Solution Architects in developing solutions
• Prioritizes tasks and meets project deadlines in a fast-paced work environment