GM is looking to shape its future through high-impact AI systems by implementing advanced AI technologies and integrating them into its business strategies, culture, and operational workflows.
Requirements
- 7-10 years’ experience of software engineering, fluency in .NET, Python or Java.
- Understanding of machine learning, deep learning, and statistical modelling.
- Familiarity with cloud-based AI/ML platforms (AWS, GCP, Azure) and containerisation using Docker and Kubernetes.
- Experience adapting AI integrations with tools such as Slack, Google Workspace, Moveworks, Glean, Copilot, Workday and/or ServiceNow.
- Knowledge of algorithms, distributed systems, and API development.
- Experience with natural language AI, such as customization, summarization and translation.
Responsibilities
- Develop and test cutting-edge AI infrastructure, optimizing machine learning and AI-driven applications across GM’s global platforms.
- Collaborate with cross-functional teams (data scientists, software engineers, product teams) to bring AI solutions into production at scale.
- Implement robust, high-performance software systems with a focus on scalability, security, and efficiency.
- Lead technical initiatives in validation, deployment, and monitoring in real-world environments.
- Implement integrations with diverse data sources and SaaS platforms using APIs, while orchestrating workflows through internal and third-party tools.
Other
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience.
- Ability to legally operate a motor vehicle on a regular basis.
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
- Must be able to work in a fast-paced environment.
- Self-motivated, strong execution, impact-delivering oriented
