Remote ML Ops Engineer (DevOps, Site Reliability, Python, and AWS)

Only candidates with 4+ years of software development experience are eligible for this role.

Turing.com is looking for a ML Ops Engineer on behalf of a leading innovative company focused on revolutionizing agriculture by creating intelligent machinery. As a member of the engineering team, you will help develop the end-to-end Computer Vision/Machine Learning (CV/ML) pipeline and other infrastructures for the product engineering process. The company has dedicated itself to making a positive impact through technology by creating a space where environment and economic sustainability intersect. The selected candidate will work in a high-impact role focusing on code, versioning of datasets, models, and production endpoints that will enable various teams to collaborate, experiment, and scale fast.

Job Responsibilities:

• Design and architect advanced auto CV/ML pipeline infrastructure

• Deliver a higher level of usability and reliability to end-user groups

• Support cloud-based MLOps at scale

• Work on Continuous Integration/Delivery for the internal user groups’ CV/ML projects

• Enhance and extend the DataOps and MLOps infrastructure and functional processes

• Sustain the internal user groups to make adequate use of the CV/ML channels

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)

• 4+ years of relevant industry experience in MLOps, DevOps, Site Reliability, and other related aspects

• Strong proficiency with Python

• Extensive skills with AWS infrastructure or other cloud providers

• Experience with Jenkins or other CI/CD tools

• Understand primary ML practice and production workflows

• Demonstrable skills using Kubeflow/Kubernetes to build large scale production pipelines

• Sound leadership skills with an ability to train and supervise other ML engineers/data scientists to make efficient/effective use of the pipelines

• Core competency with infrastructure as code tools such as Terraform and Cloudformation

• Proficiency with large scale data pipelines is helpful

How to Become a Turing Developer:

• Create your account on Turing platform

• Fill in your basic information (name, number, location, previous salary, experience, etc.)

• Solve multiple-choice questions

• Schedule a technical interview

• Final Onboarding

Perks & Benefits:

• Earn salaries higher than local standards

• Work alongside a community of Google, Facebook, Microsoft engineers

• Experience rapid career growth

• No visa requirements to work with the best US companies

• Better work-life balance

Apply today before the vacancies are filled.