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2 часа назад

Software Engineer III (Machine Learning)

90 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer III (Machine Learning): Building production-ready machine learning software and cloud-based solutions with an accent on Python, model deployment, Google Cloud services, and scalable software architecture. Focus on designing end-to-end systems, developing testing and orchestration frameworks, troubleshooting production issues, and delivering complex projects on schedule.

Location: 811 Excellence Dr, Bentonville, AR 72716, United States

Salary: $90,000–$180,000 per year, plus annual or quarterly performance incentives.

Company

hirify.global develops technology supporting Walmart’s business and digital ecosystem.

What you will do

  • Guide small groups of two to three engineers, including offshore associates, by providing technical documentation, direction, examples, and timelines.
  • Translate business and project requirements into technical solutions, designs, code, and implementation plans.
  • Design, develop, test, deploy, and maintain production-ready machine learning software and cloud-based architectures.
  • Manage complex projects, communicate status and issues, collaborate with product, project management, business, UX, and cross-functional teams, and ensure timely delivery.
  • Troubleshoot business and production issues, perform root-cause analysis, coordinate support teams, and implement corrective action plans.
  • Participate in discovery and high-level design for small- to medium-sized projects.

Requirements

  • Master’s degree or equivalent in computer science, information technology, engineering, or a related field.
  • Experience coding in Python using object-oriented programming.
  • Experience understanding machine learning or deep learning algorithms and packaging models into production-ready code.
  • Experience using a machine learning platform such as Element, Google Vertex AI, or Azure ML Studio.
  • Experience with Google Cloud Platform services such as BigQuery, Cloud Storage, and Dataproc.
  • Experience using SQL and NoSQL database technologies.
  • Experience with CI/CD tools such as Concord, Looper, Docker, or WCNP.
  • Experience setting up Python unit-testing and integration-testing frameworks, using pipeline orchestration tools such as Airflow or Astronomer, and designing cloud-based end-to-end software architectures.
  • Experience using GitHub for software project change management and following software deployment and maintenance best practices. Any amount of experience with the listed skills is accepted; no specific number of years is required.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase opportunities, and company-paid life insurance.
  • Paid time off includes PTO and sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, education assistance including 100% company-paid college degrees, company discounts, military service pay, and adoption expense reimbursement.
  • Performance-based incentive awards may be paid annually or quarterly; benefit eligibility depends on job classification and length of employment, and plans may change.

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