building AIML Strategy & solutionsModel development & execution lifecycleMLOps.AI/MLdata scientistsDevOpsdata engineers
Work Authorization
Us Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 27th Nov 2020
JOB DETAIL
Job Description:
Looking for 10+Years of ML Ops Architect
The primary responsibility of this role is to create enablers in order to streamline AI/ML operations right from Data supply strategy to Data discovery to Model training and development to deployment of AI services.
ML Ops Architect will help to accelerate the creation of tools, services and workflows to aid in the quick and widespread deployment of AI Services on a global scale.
Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks for cloud and edge, and serving infrastructure.
Use configuration and API management to abstract and automate most manual tasks both pre-modeling and post-deployment.
Work with data scientists, DevOps, data engineers/SMEs from domain to understand how data availability and quality affects model performance.
Evaluate open source and proprietary technologies and present recommendations to automate machine learning workflows, model training and versioned experimentation, digital feedback and monitoring.
Hands on experience & expertise to define the ML Ops strategy as well as helping team implement the same.
Senior AI/ML technologist with extensive experience in designing & building AIML Strategy & solutions , Model development & execution lifecycle, MLOps.