General Motors
Manufacturing
SeniorEngineer/LeadEngineer-VirtualEngineering-AIML
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“Senior Engineer / Lead Engineer - Virtual Engineering - AI ML at General Motors. Skills: Machine Learning, AI/ML models, MLOps. Collaborate with stakeholders. Understand business problems”
What You'll Achieve.
Deliver measurable impact
Industry & Context.
Problem-solving; Analytical mindset
What They're Looking For.
Must Have
Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering, 5+ years Automotive Manufacturing / Manufacturing Engineering Experience, 1+ year implementing AI/ML solutions, Executed 2 end-to-end projects, Python programming skills, ML/DL frameworks proficiency, Solid understanding of statistics, Solid understanding of probability, Solid understanding of linear algebra, Experience in data preprocessing, Experience in feature engineering, Experience in ETL, Experience in Exploratory Data Analysis (EDA), Experience with MLOps platforms, Knowledge of ML model evaluation, Experience with SQL/NoSQL databases, Experience handling large datasets, Understanding of data annotation tools, Understanding of MLOps workflows, Experience in domain-specific AI use cases
Nice to Have
Knowledge of deep learning architectures, Familiarity with cloud-based platforms, Experience in distributed training, Experience scaling ML on large datasets, Curiosity for AI innovation, Ability to translate domain problems, Collaboration skills, Clear communication of technical concepts
What You'll Do.
Collaborate with stakeholders
Understand business problems
Solve manufacturing problems
Fine-tune AI/ML models
Work with MLOps tools
Automate CI/CD pipelines
Automate model monitoring
Evaluate model performance
Validate model performance
Benchmark model performance
Establish monitoring processes
Establish maintenance processes
Ensure AI solutions comply
Document lessons learned
How You'll Work.
Team & Collaboration
Cross-functional teams; IT/AI teams
Communication Scope
Technical concepts
Full Job Description
**Job Description** Job Description **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. **Your Skills & Abilities (Required Qualifications)** * Bachelor’s or Masters Degree Mechanical/Automobile/Production /Mechatronics Engineering discipline or similar. * 5+ years in Automotive Manufacturing / Manufacturing Engineering Experience. *
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