Micron Technology Off Campus Freshers Recruitment As Associate Data Engineer For B.E/B.Tech/M.E/M.Tech

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Micron Technology Off Campus Freshers Recruitment Details:

About Company:

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Job Profile: Associate Data Science Engineer

Degree Required: B.E/B.Tech/M.E/M.Tech

Batch Eligible: Any Batch

Experience Required: Freshers

Salary: Not Disclosed

Work location: Hyderabad

Roles & responsibilities can include but are not limited to: 

Broad knowledge and experience in:  

  • Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Ability to apply latest mathematical and statistical techniques to analyze data and uncover patterns.
  • Interested to build web application as part of job scope.
  • Knowledge in Cloud based Analytics and Machine Learning Modeling
  • Knowledge in building APIs for application integration.
  • Knowledge in the areas: statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning.
  • Data Analysis and Validation skills
  • Strong software development skills.

Above average skills in: 

  • Programming Fluency in Python
  • Knowledge in statistics, Machine learning and other advanced analytical methods
  • Knowledge in JavaScript, AngularJS 2.0, Tableau will be added advantage.
  • Knowledge in OOPS background is added advantage.
  • Understanding of PySpark and/or libraries for distributed and parallel processing is added advantage.
  • Knowledge in TensorFlow, and/or other statistical software including scripting capability for automating analyses
  • Knowledge with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
  • Understanding of Manufacturing Execution Systems (MES) is a plus

Demonstrated ability to: 

  • Work in a dynamic, fast-paced, work environment
  • Self-motivated with the ability to work under minimal direction
  • To adapt to new technologies and learn quickly
  • A passion for data and information with strong analytical, problem solving, and organizational skills
  • Work in multi-functional groups, with diverse interests and requirements, to a common objective
  • Communicate very well with distributed teams (written, verbal and presentation)

Education Requirement & eligibility: 

  • Bachelor’s or Master’s degree in Computer science, Electrical/Electronic Engineering.
  • CGPA requirements = 7.0 CGPA & Above

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