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Job Description – Temporary Data and Machine Learning Engineer (240098)
Job Description
Temporary Data and Machine Learning Engineer – 240098 : N/A
Description
Job Summary
The Data and Machine Learning Engineer develops, maintains, and optimizes end-to-end extract, transform, and load (ETL) processes for large scale structured and unstructured data in data lake, warehouse and repositories. The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production. The Data and Machine Learning Engineer deploys, fine-tune, and execute machine learning models developed by Data Scientists and turn them into end-to-end production systems.
Key Responsibilities
Qualifications
Qualifications:
As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply. PLEASE NOTE: This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status. =’For information on work demands and conditions required for this position, please consult the reference document, “Physical, Mental, and Work Environment Standards for IEEE Positions.” This position is classified under ‘ + Category I – Office Positions + ‘. ‘ + ‘IEEE is an EEO/AAP Employer/Protected Veteran/Disabled ‘ + ‘=============================================== ‘ + ‘Disclaimer: This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.
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