Software Engineer developing features using TypeScript and React for a healthcare data sharing platform. Collaborating with teams to enhance functionality and compliance in a hybrid work environment.
About the role
- AI Platform Engineer contributing to GM's AI systems. Building core infrastructure components for AI/ML workflows in collaboration with cross-functional teams.
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.
Requirements
- 7-10 years’ experience required of software engineering
- fluency in .NET, Python or Java
- 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, Move works, Glean, Copilot, Workday and/or ServiceNow.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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