Senior Engineer - Virtual Engineering - AI ML
General Motors Company (company site, opens in a new tab)4–8 yrsBengaluruHybridDirect career pageEst. 20–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end ML projects to improve Manufacturing Engineering and Operations processes with measurable business impact.
- Design, develop, deploy, and maintain AI/ML models in collaboration with IT/AI teams ensuring compliance with data security and regulatory requirements.
- Automate ML workflows using MLOps tools and establish ongoing model monitoring and maintenance processes.
Minimum Requirements
- Bachelor's or Master's degree in Mechanical, Automobile, Production, Mechatronics Engineering or similar.
- 4-8 years experience in Automotive Manufacturing or Manufacturing Engineering.
- 2+ years experience implementing AI/ML solutions in automotive use cases, with at least 2 end-to-end projects in text or image data domains.
- Proficiency in Python, ML/DL frameworks (Scikit-learn, TensorFlow, PyTorch, XGBoost), MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), and handling large datasets with SQL/NoSQL.
Ideal Candidate Profile
- Experienced in applying ML/AI to manufacturing or automotive domain problems with a strong technical and analytical mindset.
- Capable of translating complex manufacturing challenges into AI solutions and collaborating cross-functionally to deploy models into production.
- Skilled in maintaining ML pipelines with knowledge of evaluation metrics, data preprocessing, feature engineering, and automation using MLOps tools.