Назад
Company hidden
7 дней назад

Senior Machine Learning Engineer (AI)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Machine Learning Engineer (AI): Accelerating AI adoption and maximizing the efficiency of internal processes across engineering teams with an accent on LLMs, MLOps, and agentic AI. Focus on building and maintaining shared capabilities, platforms, standards, and tools that let teams move faster.

Location: Wietmarschen-Lohne, Aberdeen, Bristol, Osnabrück. Home Office possible.

Company

Rosenxt is a technology group creating innovative solutions for critical infrastructure in harsh environments.

What you will do

  • Evaluate, configure, and maintain the AI development tool stack (GitHub Copilot, custom agents, local LLMs).
  • Standardise how AI agents interact and integrate with internal tools, services, and development workflows.
  • Build retrieval-augmented generation systems over Rosenxt's internal documentation.
  • Define and implement productivity and quality metrics, run controlled pilots, measure impact, and use data to drive adoption decisions.
  • Ensure AI-assisted development tools and ML systems comply with internal governance frameworks and regulation including the EU AI Act.
  • Develop and maintain reusable CI/CD templates for ML pipelines.

Requirements

  • Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience.
  • Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact.
  • Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows.
  • Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation).
  • Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models.
  • Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering.

Culture & Benefits

  • Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character.
  • Flexible working time and working time accounts.
  • Home Office possible.
  • An open, informal corporate culture, where success is celebrated with social events.
  • Depending on the hiring location you may also benefit from local benefits.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →