Graduate, B.Tech, BE Vacancy at Ford

Ford is hiring an experienced Data Scientist at their India location.

Job Update: Graduate, B.Tech, BE Vacancy at Ford

Neha Sharma | Feb 22, 2024 |

Graduate, B.Tech, BE Vacancy at Ford

Graduate, B.Tech, BE Vacancy at Ford

Overview:

Ford is hiring an experienced Data Scientist at their India location.

The complete details of this job are as follows:

Roles and Responsibilities:

  • Develop machine learning models and implement ML feature delivery as managed services or on device model.
  • Analyze and Solve Industrial Engg. / Operational Research requirements
  • Collaborate with data engineers to develop data and model pipelines
  • Write production-level code and bring code to production
  • Engage in code reviews
  • Develop and test the optimization model
  • Design and evaluate approaches for handling large volume of real data streams.
  • Improve existing machine learning models
  • Develop prototype for future exploration.
  • Produce project outcomes and isolate issues
  • Implement machine learning algorithms and libraries
  • Communicate complex processes to business leaders
  • Research and implement best practices to enhance existing machine learning infrastructure

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Eligibility Criteria:

  • BE, B.Tech, M.S. or Ph.D. in Industrial Engineering, Operations research, Production Engg., or in a related field
  • Minimum of 2+ years’ hands-on work experience in Industrial Engineering, Operation research or Optimization projects
  • 2+ years of hands-on experience in using machine learning & Business Intelligence tools and techniques such as Machine Learning
    (Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement
    learning, and other numerical algorithms), Business Intelligence (Power BI, Engineer KPIs, Tableau, Qliksense)
  • Experience with Google Cloud Platform (GCP) / other Cloud platforms including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem

Qualification:

  • BE, B.Tech, M.S. or Ph.D. in Industrial Engineering, Operations research, Production Engg., or in a related field
  • Minimum of 2+ years’ hands-on work experience in Industrial Engineering, Operation research or Optimization projects
  • 2+ years of hands-on experience in using machine learning & Business Intelligence tools and techniques such as Machine Learning (Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms), Business Intelligence (Power BI, Engineer KPIs, Tableau, Qliksense)
  • Experience with Google Cloud Platform (GCP) / other Cloud platforms including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem

Disclaimer: The Recruitment Information provided above is for informational purposes only. The above Recruitment Information has been taken from the official site of the Organisation. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company or organization posted the recruitment Vacancy. We don’t charge any fee for providing this Job Information. Neither the Author nor Studycafe and its Affiliates accepts any liabilities for any loss or damage of any kind arising out of any information in this article nor for any actions taken in reliance thereon.

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