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Machine Learning – Ops Expert
Santa Clara, CA
Santa Clara
CA
95056
Date
: Apr-08-21
2021-04-08
2022-04-08
Machine Learning – Ops Expert
Santa Clara, CA
Apr-08-21
Work Authorization
US Citizen
GC
H1B
EAD (OPT/CPT/GC/H4)
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
USD 75 / Hourly / C2C
Duration
:
Long Term
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[ML] Machine Learning
Consulting / Contract
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Python, ETL, Devops, Machine Learning, data transformation, AI/ML
Preferred Skills
:
Domain
:
IT/Software
Work Authorization
US Citizen
GC
EAD (OPT/CPT/GC/H4)
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Midlevel
Rate/Salary ($)
:
USD 75 / Hourly / C2C
Duration
:
Long Term
Sp. Area
:
AI, ML, NLP, Data Science
Sp. Skills
:
[ML] Machine Learning
Consulting / Contract
H1B Sponsorship Available
CONTRACTOR
Direct Client Requirement
Required Skills
:
Python, ETL, Devops, Machine Learning, data transformation, AI/ML
Preferred Skills
:
Domain
:
IT/Software
VdartInc
Alpharetta, GA
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Machine Learning Ops Expert
Location: Santacalra, CA
Contract
Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.
Develop ETL pipelines, tools and processing jobs for data cleansing, labeling and analysis.
Experience deploying machine learning models into production environment.
Strong DevOps, Data Engineering and ML background with Cloud platforms
Experience in containerization and orchestration (such as Docker, Kubernetes)
Experience building/operating systems for data extraction, ingestion and processing of large data sets
Experience with MLOps tools such as MLFlow and Kubeflow
Experience in Python scripting
Experience with CI/CD
Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.
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