Ford Recruitment 2022 for Freshers Hiring as Analytics Engineer of Any Degree Graduate

Ford Recruitment 2022 for Freshers Hiring as Analytics Engineer of Any Degree Graduate

Ford Recruitment 2022 for Freshers: Ford Motor Company, commonly known as Ford, is an American multinational automaker that has its main headquarters in Dearborn, Michigan, a suburb of Detroit. It was founded by Henry Ford and incorporated on June 16, 1903

Company Name: Ford Motor Company

Official Website: Ford

Wikipedia: Ford Wiki

Job Profile: Trainee

Degree Needed: B.E

Batch Eligible: 2021/2022

Work Location: Chennai

Salary: Best In Industry

Experience Level: 0 – 2 Years

Jobs By Location And Passout Year:

Area of Professional Exposure (technical skills):

• Exposure to Automotive Industry and Awareness to latest Trends in automobile business 
• Exposure to CAE tools (Ansa/Hypermesh)
• Exposure to CAE solvers (Nastran, Ls-Dyna, Optistruct, Abaqus)
• Knowledge of vehicle systems and sub-systems.
• Awareness of PLM tools (Teamcenter)
• Knowledge of engineering quality tools: FMEAs, Six Sigma etc.
• Knowledge of applied systems engineering, Six Sigma methodologies

Pay After Placement, 100% Assured Job Opportunity Program With CTC Upto 12 LPA: Register Now

Job Description:

• Work in a large team to deliver analysis results in CAE / do data analysis for a multitude of vehicle programs across different regions.
• Ability to mesh sheet metal, casting and plastic parts
• Ability to do a basic analysis.
• Responsible for all documentation of all work and preparation of ‘lessons learnt’ documentation to provide benchmark knowledge for future work on other programs.
• Execute as well as check the progress of the projects, and suggest alternatives whenever required to make sure the delivery milestones are met, with the appropriate quality and cost
• Managing master data, including creation, updates, and deletion.
• Provide quality assurance of imported data, working with quality assurance analysts if necessary.
• Commissioning and decommissioning of data sets.

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