Aartificial intelligence, Azure, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Docker, Kubernetes-K8s, Machine learning techniques, MLOps tools, Python Programming
We are a growing centralized team developing AI powered applications, especially using large language models. The team includes data scientists, machine learning engineers, and software engineers.
The Role
This is a pivotal role as the team is chartered with building high profile Generative AI applications, and the team is starting fresh in an Azure environment. As the first dedicated DevOps Engineer, you will get a chance to build many pieces and processes from scratch. You will provision tools and services to enable data scientists and machine learning engineers in the team. You will build pipelines that automate the deployment and monitoring of products, using infrastructure-as-code. Within our team you will collaborate with solution architects and ML Engineers, and you will work closely with HP's cloud architecture team.
Skills And Profile
Education And Length Of Experience
For this position, we need at least a relevant Bachelor's degree (preferably Computer Science) or demonstrated competence, and a minimum of 7-10 years of experience.
About HP
You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.
So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.
HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.
The Hewlett-Packard Company, commonly shortened to Hewlett-Packard or HP, was an American multinational information technology company headquartered in Palo Alto, California, that developed and provided a wide variety of hardware components, as well as software and related services to consumers, small and medium-sized businesses (SMBs) and large enterprises.
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