waypointjobs

Saransh Inc

Site Reliability Engineer with ML platform - Only W2

sunnyvale, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Saransh Inc lists this Site Reliability Engineer with ML platform - Only W2 opportunity in sunnyvale, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

Title: Site Reliability Engineer SRE – ML platform

Location: Austin, TX or Sunnyvale, CA

Employment type: Full-time • Seniority: Mid-Senior level • ONLY W2

Responsibilities

Continuous Deployment using GitHub Actions, Flux, Kustomize

Design and implement cloud solutions, build MLOps on cloud AWS

Data science model containerization, deployment using docker, VLLM, Kubernetes

Communicate with a team of data scientists, data engineers and architects, document the processes

Develop and deploy scalable tools and services for our clients to handle machine learning training and inference

Knowledge of ML models and LLM

Qualifications

6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS

Good understanding of Apache SOLR

Proficient with Linux administration

Knowledge of ML models and LLM

Ability to understand tools used by data scientists and experience with software development and test automation

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS)

Experience working with cloud computing and database systems

Experience building custom integrations between cloud-based systems using APIs

Experience developing and maintaining ML systems built with open-source tools

Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes

Experience developing containers and Kubernetes in cloud computing environments

Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)

Ability to translate business needs to technical requirements

Strong understanding of software testing, benchmarking, and continuous integration

Exposure to machine learning methodology and best practices

Good communication skills and ability to work in a team

#J-18808-Ljbffr

Worksite address

sunnyvale, CA, 94087, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

Ready for your next step?Apply on the official website
Apply on WhatJobs ↗

Explore related searches

Current related jobs

Annapurna Labs (u.s.) Inc.

WhatJobs

PD Engineer, Annapurna Labs

cupertino, CA

Salary not specified

As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data c…

Last received from source 2026-10-07View job

Amazon.com Services Llc - A57

WhatJobs

Senior Automation Engineer

suffolk, VA

Salary not specified

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of tho…

Last received from source 2026-10-07View job

Annapurna Labs (u.s.) Inc.

WhatJobs

DFT Design Engineer, Machine Learning Acceleration

austin, TX

Salary not specified

Custom SoCs (System on Chip) are at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team,…

Last received from source 2026-10-07View job