Remote back-end ML engineer jobs

We, at Turing, are looking for highly-skilled remote back-end ML engineers who will help drive the development of next-generation machine learning and data science platforms to accelerate machine learning from exploration to production and has the expertise to manage external/internal inter-system connectivity. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Building back-end infrastructure, data pipelines, and/or machine learning models for our AI-backed product
  • Build working ranking models and automate modeling pipelines
  • Collaborate with product teams & engineering professionals (especially Front-end engineers)
  • Building back-end infrastructure, data pipelines, and/or machine learning models for our AI-backed product
  • Build working ranking models and automate modeling pipelines
  • Collaborate with product teams & engineering professionals (especially Front-end engineers)
  • Design, develop, test, deploy, maintain and improve the machine learning software
  • Evaluate, define and deploy avant-garde ML algorithms over text and unstructured data
  • Research on new developments in the Natural Language Processing field
  • Take ownership of creating and maintaining core ML and backend codebase
  • Implement security & data protection practices
  • Experiment, design & build APIs, data storage solutions & other engineering projects

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years back-end development experience using ML/NLP (rare exceptions for highly skilled developers)
  • Strong software development skills, with expertise in backend technologies such as Python, PHP, Ruby, Java, JavaScript, etc.
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years back-end development experience using ML/NLP (rare exceptions for highly skilled developers)
  • Strong software development skills, with expertise in backend technologies such as Python, PHP, Ruby, Java, JavaScript, etc.
  • Solid understanding of ML fundamentals and libraries like PyTorch, TensorFlow, Numpy, Pandas, Gensim, etc.
  • Expertise in server-side JavaScript tools including Node. js, npm, webpack, babel, etc.
  • Experience with microservices development like Go, GRPC, SQL, etc.
  • In-depth experience in developing web services like Restful, Soap, etc.
  • Experience with data science and ML tools like R, Python, Tensorflow, Spark, MLflow, etc.
  • Strong grasp on Linux environment and deployment methodologies
  • Fluency in the English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of containerization with Kubernetes and Docker
  • Proficient in building scalable, robust and secure Enterprise applications
  • Experience with cloud technologies such as AWS, GCE, Azure
  • Knowledge of containerization with Kubernetes and Docker
  • Proficient in building scalable, robust and secure Enterprise applications
  • Experience with cloud technologies such as AWS, GCE, Azure
  • Understanding of using Big Data technologies like Spark, Hive etc.
  • Familiarity with Agile software development methods
  • Self-starter with strong time management skills
  • Strong technical and logical thinking
  • Good consultative and communication skills

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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