Internship - DevOps Machine Learning Infrastructure

Syntiant Corp.; Irvine (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

Syntiant Corp. in Irvine, CA is seeking a DevOps Machine Learning Infrastructure Intern to support our Software Engineering team, focusing on ML applications deployed on AWS EKS and on-prem clusters.

You will help build, maintain, and optimize RESTful APIs with Python and FastAPI, implement CI/CD pipelines, and collaborate across teams to ensure robust cloud-native deployments while maintaining on-prem Ceph, PostgreSQL, and NFS services.

Qualifications

• Pursuing Bachelor's or Master's in CS or equivalent experience.
• Proficiency in Python and FastAPI for API development.
• Exposure to AWS EKS and Kubernetes deployment and management.
• Familiarity with Docker and Kubernetes.
• Experience with CI/CD tools and pipelines.
• Familiarity with MongoDB, PostgreSQL, and NFS.
• Knowledge of Ceph and on-premises storage is a plus.
• Linux system administration familiarity.
• Will learn to write clean, maintainable code and test thoroughly.
• Observability tools (Prometheus, Grafana) exposure a plus.

Responsibilities

• Build, maintain, and optimize RESTful APIs using Python and FastAPI.
• Deploy and manage applications on AWS EKS with high availability and performance.
• Integrate data sources like MongoDB and PostgreSQL for storage and retrieval.
• Implement CI/CD pipelines to automate testing and deployment.
• Collaborate across teams to align cloud-native tools and practices.
• Maintain on-premises Ceph, PostgreSQL, and NFS services.
• Troubleshoot issues across dev, staging, and production environments.
• Participate in code reviews and knowledge sharing sessions.

Skills

Python

FastAPI

Cloud infrastructure

CI/CD practices

Team collaboration

Education

Bachelor's or Master's in CS

Tools

Docker

Kubernetes

AWS EKS

Terraform

Ansible

GitLab CI/CD

Jenkins

Ceph

PostgreSQL

MongoDB

Job description

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a DevOps Machine Learning Infrastructure Intern to take on a role supporting our Software Engineering team.

The DevOps Intern will work alongside engineers to help build, maintain, and enhance our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with application development, cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments.

Requirements

• Develop, maintain, and optimize RESTful APIs using Python and FastAPI
• Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance
• Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval
• Implement CI/CD pipelines to automate testing and deployment processes
• Collaborate across teams to ensure seamless integration of cloud-native tools and practices
• Maintain on-premises servers running Ceph, PostgreSQL, and NFS services
• Troubleshoot & resolve issues across different environments (development, staging, production)
• Participate in code reviews, pair programming, and knowledge sharing sessions

Qualifications

• Candidate pursuing a Bachelor's or Master's degree in Computer Science or equivalent work experience, with relevant coursework, research, or project experience
• Proficiency in Python, with familiarity using FastAPI for API development.
• Exposure to AWS EKS, including deploying, scaling, and managing Kubernetes clusters is a plus
• Familiarity with containerization technologies (Docker, Kubernetes).
• Exposure to cloud infrastructure services such as S3, RDS, and VPCs.
• Familiarity with CI/CD tools like GitLab CI/CD or Jenkins.
• Familiarity with database systems, including MongoDB, PostgreSQL, and NFS.
• Exposure to on-premises storage solutions like Ceph.
• Familiarity with Linux system administration.
• Willingness to learn to write clean, maintainable code and perform thorough testing.
• Strong problem-solving skills and a strong attention to detail.
• Exposure to cloud-native observability tools (Prometheus, Grafana) is a plus
• Familiarity with Kubernetes operators and Helm charts is a plus
• Exposure to container orchestration on-premises using K8s or similar technologies is a plus
• Exposure to DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus

About Syntiant

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.