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12 дней назад

Machine Learning Engineer (MLOps)

110 800 - 166 100$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
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
Machine Learning Engineer (MLOps): Building and operating an enterprise AI platform with an accent on model training, monitoring, feature stores, deployments, and scalable data workflows. Focus on designing secure CI/CD frameworks, optimizing model reliability and performance, and integrating distributed data systems across cloud environments.

Location: Remote; Flex Designation: Anywhere. The posting also lists an office address in Calabasas, California.

Salary: $110,800–$166,100 annually, depending on location, knowledge, skills, education, and experience. Eligible for an annual discretionary bonus.

Company

hirify.global is a national tool retailer operating more than 1,600 stores across 48 states and offering over 6,000 tools and accessories.

What you will do

  • Develop and implement an enterprise AI platform in collaboration with data scientists and IT.
  • Build and maintain an MLOps technology stack for model training, monitoring, feature management, deployment, and maintenance.
  • Optimize the scalability, performance, and reliability of enterprise machine learning models.
  • Improve data ingestion, preprocessing, feature engineering, and model training workflows.
  • Design, build, and maintain a secure, scalable CI/CD framework for data science teams.
  • Mentor data scientists and collaborate with application teams, security, software engineering, and business partners.

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • 2–4 years of experience as a machine learning engineer or data scientist in a big data ecosystem.
  • 2–4 years of experience developing, tuning, operationalizing, and monitoring enterprise machine learning models at scale.
  • 2–4 years of experience with public cloud platforms and systems, including AWS, GCP, or Azure.
  • Strong knowledge of distributed computing, data structures, data warehousing, data mining, business analytics, and distributed or relational databases.
  • Technical expertise in Python, SQL, and PySpark, with strong communication, planning, collaboration, and project management skills.

Nice to have

  • Master’s degree or Ph.D.
  • Experience taking on leadership and mentoring responsibilities while remaining hands-on.

Culture & Benefits

  • Medical, dental, vision, life insurance, and short- and long-term disability coverage.
  • Eligible Associates can enroll in the company 401(k) plan.
  • Up to 236 hours of paid time off per year, including PTO, floating holidays, and paid holidays.
  • Up to 80 hours of paid sick time per year unless otherwise required by law.
  • Travel of up to 5% may be required.

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