MLOps Engineer

Redcare Pharmacy; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Work from Home (до 20 дней в году за Р

Team events

Mental Health support via nilo

Training opportunities

Deutschlandticket

Urban Sports Club membership

Job summary

Redcare Pharmacy ищет инженера MLOps, который будет строить, эксплуатировать и совершенствовать ML/AI решения в продакшене, работая на стыке Data Science и Software Engineering.

Вы будете сотрудничать с дата-сайентистами и инженерами в кросс-функциональных командах, разворачивать безопасные пайплайны CI/CD, писать чистый Python код и обеспечивать мониторинг и валидацию моделей (MLflow/Kubeflow приветствуется).

Qualifications

• Практический опыт в MLOps, DevOps, платформенном инженерии или ПО, включая развёртывание и эксплуатацию ML/AI решений в продакшене.
• Солидные навыки программирования на Python, включая автоматическое тестирование, контроль версий, и ревью кода.
• Практический опыт с Docker и контейнеризацией платформ управления контейнерами, таких как Kubernetes.
• Опыт работы с инструментами CI/CD, такими как GitHub Actions или Jenkins.
• Знакомство с практиками жизненного цикла ML, такими как упаковка модели, версионирование, валидация, развертывание и мониторинг; опыт с инструментами, такими как MLflow или Kubeflow приветствуется.
• Сильное понимание архитектуры ПО и безопасной разработки ПО и практик поставки.

Responsibilities

• Build and operate containerized services using orchestration platforms such as Kubernetes. Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services.
• Develop maintainable and well-tested Python code for production services, automation, and internal tooling.
• Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration.
• Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle.
• Contribute to technical designs and architecture decisions, and participate in code reviews.
• Integrate automated security checks into delivery pipelines and follow secure development and operations practices.

Skills

MLOps

DevOps

Platform engineering

Python

Code review

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

MLflow

Kubeflow

Job description

Требования:

Практический опыт в MLOps, DevOps, платформенном инженерии или программном обеспечении, включая развертывание и эксплуатацию ML/AI решений в продакшене. Солидные навыки программирования на Python, включая автоматическое тестирование, контроль версий, и ревью кода. Практический опыт с Docker и контейнеризацией платформ управления контейнерами, таких как Kubernetes. Опыт работы с инструментами CI/CD, такими как GitHub Actions или Jenkins. Знакомство с практиками жизненного цикла ML, такими как упаковка модели, версионирование, валидация, развертывание и мониторинг; опыт с инструментами, такими как MLflow или Kubeflow приветствуется. Сильное понимание архитектуры программного обеспечения и безопасной разработки ПО и практик поставки. Дополнительная информация

Условия:

We are seeking a MLOps Engineer (m/f/d) to build, operate, and improve ML/AI solutions in production. You will work at the intersection of data science and software engineering, helping to turn models into secure, maintainable, and reliable production services. You’ll collaborate with data scientists and engineers in cross-functional product teams and contribute to the continuous improvement of our MLOps practices and platform. Tech stack: Python, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, Kubeflow, CI/CD, Git/version control, automated testing, model packaging and versioning, model validation and monitoring, observability, and secure software development/DevOps practices.

Build and operate containerized services using orchestration platforms such as Kubernetes. Troubleshoot production issues and improve the reliability, performance, and cost-efficiency of ML/AI services. Develop maintainable and well-tested Python code for production services, automation, and internal tooling. Build and improve CI/CD pipelines for ML/AI services, enabling reliable testing, deployment, and model iteration. Implement data and model versioning, validation, and observability to support integrity and reproducibility throughout the ML lifecycle. Contribute to technical designs and architecture decisions, and participate in code reviews. Integrate automated security checks into delivery pipelines and follow secure development and operations practices.

In order to provide our employees with the best possible support for their individual needs, we offer a variety of attractive benefits:

• Work from Home: If your job doesn't require you to be in the office, you can be flexible about where you work – even up to 20 days a year from anywhere within the EU.
• Redcare Events: We promote team cohesion through creative team events and celebrate our joint successes at regular events.
• Mental Health: If you feel overwhelmed privately or professionally, you can get professional support from a psychologist quickly and easily via nilo - anonymously and free of charge.
• Personal development: We are all constantly learning. That's why we support and promote your professional development through internal and external training opportunities and help you to develop further.
• Mobility: Your commute to work is important to us. That's why we provide our employees with a fully funded Deutschlandticket, which you can use at any time.
• Sport & Health: Your well-being is our top priority. That's why we offer you various ways to do something for your health. Benefit from an M membership of the Urban Sports Club and take advantage of a wide range of sports to suit your interests.