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Senior Cloud Developer, AI/GenAI/ML

Hewlett Packard Enterprise
San Jose, United Statesfull_timeVerifiedPosted 19 Sept 2024
💰 $295,000/yr($128,000/yr$295,000/yr)

About the role

Senior Cloud Developer, AI/GenAI/ML

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2-3 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

Joining our HPE Hybrid Cloud team and working as part of our OpsRamp team is a chance to make history and be a driving force in the industry. We are revolutionizing cloud computing by building a large-scale, enterprise-ready platform that powers a hybrid edge-to-cloud world. Our platform enables the world's largest and most diverse enterprise IT teams and managed service providers to control the chaos of modern digital infrastructure, and to deliver quickly, efficiently, and at scale while keeping their data secure and meeting sustainability goals.  

We do this through hybrid discovery and monitoring, event and incident management, remediation, and automation, powered by AI. We help our enterprise and MSP customers avoid costly outages and performance issues that result in lost revenue and productivity. 

With over 100,000 dedicated customers and 1 million devices in production, we are committed to accelerating transformation across data, connectivity, cloud, and security, providing essential solutions for businesses of all sizes. Together, we make the impossible possible, and we are confident in our ability to lead the way in shaping the future of cloud computing. 

What you’ll do:  

We’re solving the world’s most complex challenges, and our people are at the forefront of progress. We are looking for a hands-on Senior AI/ML Development engineer with a passion to innovate and create cutting edge products for OpsRamp’s observability SaaS product. As a Senior Development Engineers within OpsRamp, you’ll play a part in building the future – one big idea at a time.  You’ll significantly contribute on the end-2-end data and GenAI/AI/ML pipeline experiments, design, development and deployment.

This individual must demonstrate strong knowledge and experience in the cloud native technologies, AI/ML pipelines and appreciation of scale, performance and cost considerations from a Systems as well as AI/ML inference & training aspects as well.

·       Help in building of OpsRamp’s CoPilot for Autonomous Operations for the Hybrid Cloud. 

·       Implement  cloud-native architecture concepts and have knowledge of best practices for high availability, scalability, resilience, performance, and security requirements in the cloud. 

·       Incorporate the MLOPS paradigm and CI/CD in the AI/ML world, while following cloud-native techniques.

·       Actively participate in the design and development of AI/ML pipelines, AI Co-pilots/Agents etc.

·       Guides and mentors less-experienced staff members to set an example of software systems design and development innovation and excellence, helping engineers grow in their careers.

What you’ll need: 

  

·       5-7 years of relevant experience in the industry delivering scalable cloud/cloud-native solutions with ETL pipelines.

·       Bachelor's or Master's in Computer Science, Information Systems, Machine Learning, Engineering, or equivalent 

·       At least 2 years of hands-on expertise in defining, building, training and / or optimizing AI/ML models at scal

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Company

Hewlett Packard Enterprise

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