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Machine Learning/Data Science/Lead /Architect//Mason, OH
Mason, OH
Mason
OH
45040
Date
: Mar-15-20
2020-03-15
2021-03-05
Machine Learning/Data Science/Lead /Architect//Mason, OH
Mason, OH
Mar-15-20
Work Authorization
US Citizen
GC
H1B
GC EAD, L2 EAD, H4 EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
$140k
Duration
:
8 Month
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Permanent Direct Hire
Consulting / Contract
H1B OK
FULL_TIME, CONTRACTOR
Required Skills
:
Machine learning, Natural Language Processing, Data Scientist, Data Warehousing, ETL, Matlab, Word
Preferred Skills
:
Natural Language Processing, Deep Learning, python
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
Work Authorization
US Citizen
GC
GC EAD, L2 EAD, H4 EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior
Rate/Salary ($)
:
$140k
Duration
:
8 Month
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
Data Scientist
Permanent Direct Hire
Consulting / Contract
H1B OK
FULL_TIME, CONTRACTOR
Required Skills
:
Machine learning, Natural Language Processing, Data Scientist, Data Warehousing, ETL, Matlab, Word
Preferred Skills
:
Natural Language Processing, Deep Learning, python
Domain
:
IT/Software, Financial, Government, HealthCare, Retail, Dot Com, Insurance, Pharmaceuticals, Manufacturing, Telecom
saxon global
Dallas, TX
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Position Title: Machine Learning Lead /Architect
Location: Mason, OH
Full Time/C2C
Job Description:
10+ year of exp in Computer Vision, OCR, Word embedding and other NLP techniques NLP (unsupervised) with DL
Strong Machine Learning experience, some of which is within established technical organizations with production systems.
Deep understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience in at least one of these toolkits: Python, R, Weka, SciKit-learn, MATLAB
Familiarity with machine learning frameworks/libraries/packages/APIs (e.g., Theano, Spark MLlib, H2O, TensorFlow, PyTorch, etc
Proven experience in ETL, data processing, transformation, cleaning, and data warehousing techniques
Experience with applied statistics skills, such as distributions, statistical testing, and regression
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