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. Develop and enhance backend services supporting SageOps platform (APIs, SDKs, automation tools)
. Build and integrate AWS services (SageMaker, Lambda, S3, Step Functions)
. Implement reusable ML pipeline components and orchestration logic
. Fix bugs and enhance system performance and scalability
. Support SDK packaging, versioning, and deployment activities
. Ensure secure coding practices aligned with enterprise cloud standards
. Participate in code reviews, CI/CD setup, and release processes
. Collaborate with MLOps and QA teams for testing and deployment readiness
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 149164267
Skills:
Python, AWS, Aws S3, AWS EBS, Model Lifecycle Management, Model Deployment Serving, Model Registry Experiment Tracking, CI CD for ML pipelines, Data Pipeline Feature Management, Monitoring Observation
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