Senior Engineer - Virtual Engineering - AI ML

General Motors; Bengaluru; Hybrid; INR 1,400,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

General Motors in Bengaluru is seeking a Senior Engineer / Lead Engineer - ML to apply machine learning to Manufacturing Engineering and Operations. Lead end-to-end ML projects from ideation to deployment, with an emphasis on data security and measurable impact.

You will collaborate with stakeholders, design and deploy AI models, and work with MLOps tools to automate pipelines, monitor models, and ensure compliance with regulatory requirements.

Qualifications

• Bachelor's or Master's degree in Mechanical/Automobile/Production/Mechatronics Engineering or similar.
• 4-8 years in Automotive Manufacturing / Manufacturing Engineering.
• 2+ years implementing AI/ML solutions in Automotive use cases.
• At least 2 end-to-end projects in text or image data domain from problem definition to deployment.

Responsibilities

• Collaborate with stakeholders to understand problems in Manufacturing Engineering and Operations and solve them using ML.
• Design, develop, and fine-tune AI/ML models for classification, regression, clustering, and recommendations.
• 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 with IT/AI teams.
• Establish monitoring and maintenance to ensure accuracy over time.
• Ensure AI solutions comply with data security and regulatory requirements.
• Document workflows, results, and lessons learned for knowledge sharing.
• Stay updated on ML model evaluation, frameworks, and end-to-end pipelines.

Skills

Python

ML/DL theory

Statistics & linear algebra

Problem solving/analytical mindset

Communication with stakeholders

Education

Bachelor's or Master's in Mechanical/Automobile/Production/Mechatronics Engineering or similar

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

MLflow

Kubeflow

Vertex AI

Azure ML

Job description

Sponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DONOT 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.
• 4- 8 years in Automotive Manufacturing / Manufacturing Engineering Experience.
• 2+ year experience in implementing AI/ML solutions in Automotive use cases.
• Should have executed at least 2 end-to-end projects in the text or Image data domain (from problem definition to deployment).
• Strong programming skills in Python
• Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost.
• Solid understanding of statistics, probability, and linear algebra.
• Experience in data preprocessing, feature engineering, ETL and Exploratory Data Analysis (EDA).
• Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML)
• Knowledge of ML model evaluation
• Experience with SQL/NoSQL databases and handling large datasets.
• Strong problem-solving and analytical mindset.
• Understanding of data annotation tools and MLOps workflows.
• Experience in domain-specific AI use cases (manufacturing, automotive, etc.).

What Will Give You A Competitive Edge (Preferred Qualifications)

• Knowledge of deep learning architectures (CNNs, RNNs, Transformers).
• Familiarity with cloud-based platforms (Azure, AWS).
• Experience in distributed training and scaling ML on large datasets.
• Strong problem-solving mindset and curiosity for AI innovation.
• Ability to translate domain problems into AI solutions.
• Collaboration skills to work with cross-functional teams.
• Clear communication of technical concepts to non-technical stakeholders.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.