Software Engineer
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Summary
Software engineer developing and testing AI infrastructure and ML-driven applications across GM's global platforms: taking AI solutions to production with cross-functional teams, building scalable systems, and integrating APIs and SaaS tools. Requires Python, 3+ years' software/AI experience, cloud AI/ML platforms, Docker and Kubernetes.
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.
- Work on 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.
Requirements
- 3+ years’ experience required of software engineering and Artificial Intelligence, fluency in Python.
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or equivalent experience.
- 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.