Big Data/Data Science/Machine Learning/Solution Architect for Smart MFG & AI

JR10556 Big Data/Data Science/Machine Learning/Solution Architect for Smart MFG & AI (Evergreen)

Are you a woman looking to return to the workforce?

Micron’s New Beginnings – return-to-work for women program aims to provide women who have taken a hiatus from their professional lives to return to the work and transition smoothly into workforce.

Apply here to be part of this program!

Who can apply for the program?

Women on career break

• With a minimum of 2 years of prior professional working experience
• With at least 6 months of a career break

How to apply?

• Complete the application process on the career page of Micron for the positions that you are interested in.
• Please complete registration process using this link

Micron team will review all applications and participants who get selected for the Program will receive an email with additional details.

Big Data Engineer:

• 2-7 years of experience developing, delivering, and/or supporting data engineering, advanced analytics or business intelligence solutions.
• Significant experience with big data processing and/or developing applications and data sources via Hadoop, Yarn, Hive, Pig, Sqoop, MapReduce, HBASE, Flume, etc.

Data Science Engineer:

• Good hands on programming experience (eg Java, C++, python, etc)
• ETL, Database (MS SQL, Oracle, MySQL, Snowflake, etc.)
• Experience in using Tableau
• Good in Predictive Modelling, Building ML models

Solution Architect:

• Strong working experience in Big Data, Hive, Spark, Hadoop, Apache, AWS/ Azure/ GCP

Machine Learning Engineer:

• Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)
• Familiarity with software architecture (data structures, data schemas, etc.).
• Software development skills and the desire to work on cutting edge development in a Cloud environment
• Strong scripting and programming skills in one of the following, Python or Java
• Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)