Senior Engineer - Virtual Engineering - AI ML
Bengaluru, Karnataka, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
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What you’ll work on
Full postingTurn manufacturing and operations problems into ML projects with stakeholders
Design, develop and fine-tune AI/ML models for classification, regression, clustering and recommendation
Deploy models to production with IT/AI teams and automate workflows with MLOps tools
Set up monitoring and maintenance to keep model accuracy over time
Evaluate and benchmark model performance, and document results and lessons learned
From the employer’s posting
Collaborate with stakeholders to understand business problems in the in the Manufacturing Engineering and Operations space
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.
Establish monitoring and maintenance processes to ensure model accuracy over time.
Evaluate, validate, and benchmark model performance using appropriate metrics.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- AWS
- Azure
- MLflow
- NoSQL
- PyTorch
- scikit-learn
- TensorFlow
- Xgboost
Source — Tool mentions in context
- 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.
- Knowledge of ML model evaluation - Experience with SQL/NoSQL databases and handling large datasets. - Strong problem-solving and analytical mindset.
- 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.
- 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
- Strong programming skills in Python - Proficiency with ML/DL frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost. - Solid understanding of statistics, probability, and linear algebra.
Posting record
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- Live
- First seen by us
- Jun 9, 2026 · 131d ago
- Recorded sightings
- 88
- Last seen by us
- Oct 17, 2026
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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.
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.
Non-Discrimination and Equal Employment Opportunities
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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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- Pay
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- Location & working pattern
Bengaluru, Karnataka, India
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
- Work authorization
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.
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