Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У вакансии понятный фокус на MLOps, высокий диапазон зарплаты и щедрый отпуск, но стоит учесть широкий набор требований к опыту и ожидание работы в быстром темпе.
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Высокий темпАктуальный стекВысокая зарплатаЩедрый отпуск
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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