Backend Deployment Engineer

About the Company:

Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, audio recognition, and large language models (LLM). We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Argentina, India, and Estonia.

We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.

Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

Your Impact:

You’ll work to deliver solutions for the toughest problems defined by our biggest clients. You have the ability to make a significant impact on the company and the AI space as a whole.

• Leading critical deployments of Clarifai Platform on large scale cloud and on-premise environments

• Supporting commercial and public sector client solution deployments enabling clients to see the value of our solutions

• Engineering, deploying, and testing IoT systems performing edge computing using Nvidia architectures for AI modeling

• Engineering and testing CI/CD pipelines for producing highly scalable and maintainable versions of our AI platform

• Working within secure (DoD) environments, both on-premise and in the cloud showing how our platform excels in these critical important environments

You'll be a good fit for the Field Engineering Team if you're passionate about ML, AI, and Computer Vision, are comfortable meeting with clients to ensure our deployments go off without a hitch.

The Opportunity:

• Working with other highly experienced product Clarifai professionals creating AI products to meet customer needs

• Developing methods for improving the speed and quality of deployments for customers

• Creating plans for deployment activities and methods for monitoring and ensuring customer satisfaction with deliverables

• Providing critical product feedback to Clarifai about how to improve features, reliability, and maintainability

• You will take responsibility for customer deliverables, keeping up a high velocity in a fast-paced environment.

Requirements:

• BS in Computer Science or equivalent

• 2 years of experience as a Deployment engineer, devops engineer, software engineer, or infrastructure, preferably in a startup or fast-paced environment

• Excellent knowledge of deploying/integrating platforms into complex eco-systems (AWS, GCP, Azure, and ARM server environments)

• Experience deploying container orchestration (e.g. Kubernetes, GKE, EKS, et al.)

• Experience deploying and debugging common cloud datastores (RDS, Cloud SQL, Redshift, et al.)

• Detail-oriented organized; Collaborative; Excellent communicator; Multi-tasker

• Experience working with engineering and customers in enterprise software or related technical fields

• Python coding experience

• TS/SCI is Mandatory