Online applications are invited for the Automation Intern at General Motors, Bengaluru. Check the eligibility and other details below!
About GM
General Motors Company (GM) is an American multinational automotive manufacturer headquartered in Detroit, Michigan. Founded in 1908 by William C. Durant, GM has grown to become one of the world’s largest automakers, designing, building, and selling a wide range of vehicles under brands such as Chevrolet, Buick, GMC, and Cadillac.
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Job Description: ME Automation
Intern is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in manufacturing plants to solve manufacturing business problems with big data. In this position, Intern will be work with DLA engineers.
Responsibilities
- Collaborate with DLA team to capture, prioritize, and document data analytic requirements and drive measurable results.
- Pull data using existing reporting tools, analyze, perform testing, and validate the results.
- Analyze large amounts of data to discover trends and patterns.
Required Qualifications
- Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.
- Basic Knowledge in python (preferred) or any object-oriented programming languages.
- Basic Knowledge in applying statistical techniques, analytical tools, Machine Learning and Artificial Intelligence packages such as python pandas, numpy, scikit-learn, plotly, pytorch, keras, pyspark, etc.
- What Will Give You A Competitive Edge (Preferred Qualifications)
- Ability to learning on the fly.
- Excellent collaboration & ability to build relationships.
- Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
- Ability to organize, plan, prioritize and execute projects with a keen attention to details.
How to Apply?
Interested candidates for the role of the intern can directly apply through this link!
Location
- Bengaluru, Karnataka, India
- This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.