Senior Cloud AI/ML Engineer

Industry: Artificial Intelligence
Remote
Company size: 11-50
Full-time
Not disclosed

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Job description

A fast-growing company building on prior MIT research and turning external data into an X-ray of competitors and clients is looking for a Senior Cloud AI/ML Engineer. The engineer will be responsible for utilizing deep experience and problem-solving skills to help prevent and resolve production issues. The company specializes in harnessing the power of technology to turn first-class research into real-world value. This will be a long-term position requiring some overlap with the EST/PST time zone. 

  

Job Responsibilities:

  • Comprehensively understand the data lifecycle and use concepts to solve complex problems
  • Build robust, scalable, and well-maintained stacks
  • Plan, design, and execute end-to-end infrastructure
  • Assess team effort and carry on an agreed schedule 
  • Work on a cross-functional team to implement and understand solutions 

Job Requirements:

  • Master’s/PhD degree in Mathematics, Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a cloud engineer
  • Extensive experience in AWS DevOps, Python, CI/CD, ML, and Terraform is required 
  • Nice to have experience in complex SQL 
  • Demonstrable experience working with large scale data engineering 
  • Prior experience working in the finance domain is nice to have 
  • A minimum of 6 years of experience working in the software development industry
  • A minimum of 4 years of DevOps experience with AWS is required
  • Have a proven track record of delivering Cloud-Native, data-driven solutions on a major cloud provider
  • Working knowledge of DevOps toolchains including CI/CD, Containers, Infrastructure as Code, and Cloud-Native architectures
  • Experience with enterprise security and compliance is a plus
  • Solid understanding of cloud and enterprise networking technologies 
  • Prior experience integrating with existing authentication and protocols like SSO, LDAP, and external enterprise systems
  • Experience working in a SOC 2 or ISO 27001 environment
  • Demonstrable experience building ETL pipelines and deploying ML models

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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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