MLOps Architect

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timePosted 4 days ago location United States salarySalary undisclosed
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Job Description

About Zensar Technologies Zensar is a leading digital solutions and technology services company partnering with global organizations on their digital transformation journey. A technology partner of choice, with strong track- record of innovation, credible investment in digital solutions and assertion of commitment to clientrsquos success, Zensarrsquos comprehensive range of services and solutions enable clients achieve new thresholds of performance. Part of the 40 billion APAX Partnersrsquo portfolio of companies, Zensar is uniquely positioned to help existing businesses run efficiently, manage legacy transformation and plan business growth through innovative digital platform. Working at Zensar Working at Zensar is an enriching experience. While work is driven by innovation and passion, fun is taken seriously too. An open environment is encouraged making it easy to brainstorm with colleagues. Creative thinking is encouraged through time out activities. Moreover, the offices have been designed to foster creativity and communication, bringing a little bit of home into work every day. Zensar provides and a comprehensive benefit package for all fulltime employees. Zensar is seeking a MLOps Architect in Columbus, Ohio. This is fulltime role with excellent benefit and growth opportunity. Job Description The primary responsibility of this role is to create enablers in order to streamline AIML operations right from Data supply strategy to Data discovery to Model training and development to deployment of AI services. ML Ops Architect will help client accelerate the creation of tools, services and workflows to aid in the quick and widespread deployment of AI Services on a global scale. The ML Ops Architect will work with data scientists, platformdata engineers, and domain experts to design machine learning pipelines developing both inbound and outbound data engineering policies in order to increase production workflows as a next logical step to model experimentation. 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 engineersSMEs 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 Hands on experience with Azure ML Senior AIML technologist with extensive experience in designing building AIML Strategy solutions , Model development execution lifecycle, MLOps Equal Employment Opportunity and Affirmative Action at Zensar Technology is an Equal Employment Opportunity (EEO) and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans status