Opportunity ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
aimlroles

Internship - DevOps Machine Learning Infrastructure

Syntiant syntiant.com Open · verified Nov 1, 2026
On-site Irvine Part-time Junior ML Platform & Ops

At a glance

Junior ML Platform & Ops role at Syntiant. Irvine · part-time.

Pay not stated ML Platform & Ops salary

RoleML Platform & Ops
SeniorityJunior
LocationIrvine
WorkplaceOn-site
EmploymentPart-time
PostedOct 29, 2026 · 3d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and improve Python APIs with FastAPI, then connect them to data stores such as MongoDB and Postgres
  • Run applications on AWS EKS and help keep them available, responsive and able to scale
  • Automate application tests and releases by creating CI/CD pipelines
  • Support on-premises servers for Ceph, PostgreSQL and NFS, and debug issues across development, staging and production
  • Work with engineers through code reviews, paired programming and knowledge sharing

What you bring

  • You are pursuing a bachelor's or master's in computer science, or have equivalent work experience
  • You can build in Python and have used FastAPI for API work
  • You have familiarity with Docker and Kubernetes, plus exposure to AWS EKS and cloud infrastructure services
  • You have familiarity with CI/CD tools such as GitLab CI/CD or Jenkins and database systems such as MongoDB or PostgreSQL

Who this fits

This internship suits someone early in their career who wants hands-on work across cloud and on-premises machine learning infrastructure. It is based onsite in Irvine and is part-time.

From the employer

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.

Benefits

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.

Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

ML Platform & Ops

Find me work

By the team behind aimlroles.

Find me work
Opportunity

ML Platform & Ops work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.