W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
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Job Overview
Job ID : J37709
Specialized Area : Machine learning
Job Title : Sr. Software Engineer / Machine Learning Engineer
Location : SFO, CA
Duration : 9 Months
Domain Exposure : Government, Education, IT / Software
Work Authorization : To Be Discussed Later
Employment Type : W-2 (Consultant must be on our company payroll. C2C is not allowed)
Description
The incumbent will work on a broad spectrum of challenging problems ranging from optimizing site recommendations to transforming insights into our supply chain operations.
Requirements & Qualifications
- Bachelor's degree in a technical field, or equivalent practical experience
- 7-10 years of software development experience
- 5+ years' professional experience in Machine Learning, Data Science
- Strong hands-on programming experience with Java, Scala, Python
- Deep understanding of data structure, performance optimization, and algorithms
- Exposure to AutoML frameworks like Auto-sklearn, Auto-Keras
- Good knowledge of big data platforms such as Spark, Hadoop, Kafka, Hive, and Elastic Search
AUTOMATION TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M / F / D / V).
Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship / immigration status, veteran status or any other protected status.
AUTOMATION TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
Nor will AUTOMATION TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.
S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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