GM Financial Technology is looking to leverage AI-powered transformation, using advanced machine learning and automation to reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Requirements
- Deep understanding of AI/ML concepts, including Generative AI and Agentic AI
- Knowledge of advanced statistical modeling, predictive analytics, and machine learning algorithms
- Familiarity with AI frameworks and platforms such as OpenAI, Claude, LLaMA, LangChain, and AutoGPT
- Solid understanding of IT architectural patterns, system integration, and enterprise technology stacks
- Familiarity with RESTful APIs, microservices, and best practices for secure and scalable API design
- Hands-on experience with machine learning and AI platforms (Python, R, SAS) and modern AI frameworks
- Proficiency in programming languages and tools for AI development and integration
Responsibilities
- Lead the development and deployment of AI-driven solutions, with a strong emphasis on Generative and Agentic AI technologies.
- Collaborate with Data Science, IT, and business teams to implement scalable AI solutions.
- Support enterprise AI initiatives under the guidance of senior leadership, focusing on operationalization and adoption.
- Conduct research and experimentation on emerging AI technologies to enhance organizational capabilities.
- Ensure compliance with data privacy, security, and regulatory standards in all AI implementations.
- Monitor and optimize AI model performance; develop dashboards and reporting tools for stakeholders.
- Participate in automation and process improvement initiatives leveraging AI technologies.
Other
- Mentor and coach junior data scientists in AI methodologies and best practices.
- Strong problem-solving and analytical skills; able to translate business problems into AI-driven solutions
- Effective communication and presentation skills; able to explain complex AI concepts to non-technical audiences
- Ability to design and implement API-driven solutions for seamless integration with enterprise systems
- Experience collaborating with IT and engineering teams to ensure AI/ML solutions align with existing infrastructure
- Flexible hybrid work environment, 2 days a week in the office.
