• Us Citizen

• Green Card

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th Nov 2021

7-10 years of extensive experience in production grade python framework development and testing.

• Extensive experience working with AWS cloud services like S3, Glue, RDS, Lambda, Redshift, Dynamo DB, API gateway, SNS, SQL, CFT, Step function • Work alongside other engineers and developers, collaborating on the various infrastructure layers for our healthcare applications • Serve as an essential technical resource for machine learning engineers, helping them develop, test, and transition ML models into higher environments. • Develop end-to-end (Data/Dev/ML) Ops pipelines based on an in-depth understanding of AWS cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. • Prototype and demonstrate solutions for clients in customer environments. • Serve as a subject matter expert for Machine Learning Ops and partner with functional experts across the clients to bring that expertise to bear on some of the most complex and most exciting problems in this space. • Develop systems, tools, & processes to monitor ML models in production, monitoring drift and performance, and initiating retraining and validation as necessary. • Develop systems, tools, & processes to govern ML models for compliance, bias, versioning, traceability, and auditability. • Work closely with ML Engineers to advise on implementation. • Recommend and drive architecture/infrastructure to create actionable, meaningful, and scalable solutions for business problems. • Establish scalable, efficient, and automated processes for large-scale ML model deployments. • Manage, monitor, and troubleshoot machine learning infrastructure. • Experience with agile projects is a plus. • Experience with Bitbucket, Jenkins/DevOps experience is a plus