Senior Engineer / Lead Engineer - Virtual Engineering - AI ML

Sponsorship:  GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.  DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business. The Role Senior Engineer / Lead Engineer – ML will leverage Machine Learning methodologies to improve Manufacturing Engineering and Operations processes. Execute end-to-end projects from ideation to deployment, applying relevant Tools and Methods in ML and data analytics to solve Manufacturing problems while ensuring data security and delivering measurable impact. What You'll Do Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space and solve them using ML methodologies. Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendation systems. Work with MLOps tools to automate workflows, CI/CD pipelines, and model monitoring. Evaluate, validate, and benchmark model performance using appropriate metrics. Deploy AI models into production environments in collaboration with IT/AI teams. Establish monitoring and maintenance processes to ensure model accuracy over time. Ensure that all AI solutions comply with organizational data security, confidentiality, and regulatory requirements. Document workflows, results, and lessons learned for organizational knowledge sharing. Stay updated on advancements in ML model evaluation, ML frameworks, end-to-end ML pipelines.