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3 дня назад

Software Engineer, Machine Learning (AI)

150 000 - 215 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Machine Learning (AI): Implementing machine learning and AI models into production systems to generate health and lifestyle insights with an accent on full-stack tool development and scalable Python services. Focus on building infrastructure for data scientists and optimizing production codebase for reliability and performance.

Location: Boston, MA (On-site with partial telecommuting permissible from normal commuting distance)

Salary: $150,000 – $215,000 per year

Company

hirify.global develops wearable technology and AI-driven insights to help members improve their behavior and lifestyle.

What you will do

  • Implement ML and AI models into production systems to generate member behavior and lifestyle recommendations.
  • Build tools, algorithms, and infrastructure to support Data Scientists in developing, deploying, and monitoring models.
  • Develop and maintain full-stack internal toolsets using VueJS, Java, and Postgres.
  • Create production-ready Python services with a focus on testability, reliability, and scalability.
  • Refactor production codebase to enhance performance and maintainability.
  • Perform troubleshooting and debugging using DataDog, Sentry, and Kibana.

Requirements

  • Bachelor's degree in CS, Data Science, or Software Engineering with 5+ years of experience, or a Master's degree with 2+ years of experience.
  • Experience developing and delivering machine learning models and algorithms into production.
  • 2+ years of frontend development using Vue or React.
  • 2+ years of API design and development using Java, C++, and Python.
  • 2+ years of experience using SQL for relational database design and development.
  • 2+ years of experience with cloud computing platforms (AWS, Azure, or GCP) and monitoring tools (AWS Cloudwatch, DataDog, Sentry, or Kibana).

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