Remote AWS ML Cloud engineer jobs at U.S. companies in 2022

At Turing, we are looking for experienced AWS/ML cloud engineers who will be responsible for optimizing existing ML systems along with setting up, maintaining, and evolving the AWS cloud infrastructure of web applications. Here’s your chance to accelerate your career while working with top U.S. companies.

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Job description

Job responsibilities

  • Design and develop data-centric infrastructure tools
  • Facilitate and enhance real-time data analytics and research
  • Design and implement next-gen ML workloads, focusing on modern, efficient technologies
  • Design and develop data-centric infrastructure tools
  • Facilitate and enhance real-time data analytics and research
  • Design and implement next-gen ML workloads, focusing on modern, efficient technologies
  • Help incorporate industry best practices and monitor system performance
  • Define and automate efficient workflows for software and ML development teams
  • Design and implement cost-effective migration strategies to the cloud
  • Configure and maintain cloud infrastructure components like security and networking services
  • Build and maintain AWS test instances, debug reported problems, and collaborate with other developers to better understand the product

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of professional experience in AWS, ML, and Cloud engineering (rare exceptions for highly skilled engineers)
  • Working knowledge of programming languages such as Python, Java, R, SQL, etc.
  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of professional experience in AWS, ML, and Cloud engineering (rare exceptions for highly skilled engineers)
  • Working knowledge of programming languages such as Python, Java, R, SQL, etc.
  • Experience working with ML, cloud, and data pipelines
  • Knowledge of software/ML development life cycle, practices, CI/CD methodologies, and relevant tools
  • Experience with AWS deployments and relevant AWS services (eg. S3, ECS/EKS, CloudWatch)
  • Fluency in English to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Strong understanding of CS fundamentals such as data structures and algorithms, computability, complexity, computer architecture, etc.
  • Experience working with third-party libraries for ML such as Scikit-Learn, TensorFlow, Keras, PyTorch, etc.
  • Experience with modern build strategies, continuous integration, unit testing, and TDD
  • Strong understanding of CS fundamentals such as data structures and algorithms, computability, complexity, computer architecture, etc.
  • Experience working with third-party libraries for ML such as Scikit-Learn, TensorFlow, Keras, PyTorch, etc.
  • Experience with modern build strategies, continuous integration, unit testing, and TDD
  • Ability to quickly and independently learn new technologies, frameworks, and algorithms
  • Experience in building data pipelines and using tools and frameworks such as Spark, Hadoop, etc.
  • Proficiency with scripting languages (Bash/Python/Groovy)
  • Understanding of microservice software architecture, deployments, and relevant technologies

Interested in this job?

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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