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Sr Machine Learning Engineer
Phoenix, AZ
Phoenix
AZ
85023
Date
: Jul-19-18
2018-07-19
2019-07-19
Sr Machine Learning Engineer
Phoenix, AZ
Jul-19-18
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
open
Duration
:
6 months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
Third Party OK
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Big Data infrastructure and knowledge of Big Data components - Map Reduce, Hive, Spark
Preferred Skills
:
Machine Learning workflows, pipelines and engines
Domain
:
IT/Software, Financial
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
open
Duration
:
6 months
Sp. Area
:
BigData, NoSQL
Sp. Skills
:
Hadoop
Consulting / Contract
Third Party OK
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Big Data infrastructure and knowledge of Big Data components - Map Reduce, Hive, Spark
Preferred Skills
:
Machine Learning workflows, pipelines and engines
Domain
:
IT/Software, Financial
Value Info Tech
Phoenix, AZ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Machine Learning JD
Ø 5+ years of Infrastructure or engineering and/or architecture experience in a complex environment, such as: large scale infrastructure
Ø Knowledge of Machine Learning workflows, pipelines and engines, strongly preferred
Ø Experience working with Big Data infrastructure and knowledge of Big Data components - Map Reduce, Hive, Spark is a must
Ø Experience with Anomaly detection, pattern matching with capability to correlate business solution to ML algorithms is strongly preferred
Ø Ability to effectively interpret technical and business objectives and challenges and articulate solutions
Ø Familiarity with common data center infrastructure and application delivery models
Ø Comfortable deploying on premise and cloud based solutions, as well as experience with Linux, Python,and Java is highly recommended
Willingness to learn new technologies and exploit them to their optimal potential.
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