Назад
Company hidden
10 дней назад

Senior AI/ML Engineer

Формат работы
remote (только Spain)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
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 AI/ML Engineer (Python/Azure/Databricks): Designing, deploying, and maintaining scalable AI/ML systems and pipelines for business sustainability solutions with an accent on MLOps, LLMOps, AgentOps, and production-grade model integration. Focus on orchestrating batch and real-time workflows, running large-scale experiments, serving models through REST APIs, and making AI/ML capabilities accessible to end-users.

Location: Hybrid in Barcelona, Spain, with 2 days per week in the office, or fully remote from Spain. Candidates must be eligible to work and live in Spain.

Company

hirify.global provides business sustainability ratings, technology, and actionable insights into companies' environmental, social, and ethical risks.

What you will do

  • Use data and AI/ML to solve business problems across multiple business units.
  • Design, develop, deploy, and maintain scalable AI/ML systems and production-grade business applications.
  • Build AI/ML pipelines and engineering infrastructure for batch and real-time orchestration.
  • Apply MLOps, LLMOps, and AgentOps best practices, including model monitoring and evaluation.
  • Run large-scale experiments and tests to improve the quality and efficiency of ML and data pipelines.
  • Partner with scientists, engineers, and product managers to make models accessible to end-users and downstream processes.

Requirements

  • Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
  • Industry experience designing and implementing production-grade AI/ML systems and integrating them into business applications.
  • Strong Python programming skills and experience with related ML libraries.
  • Experience with AI/ML lifecycle principles and MLOps, LLMOps, or AgentOps tooling, including MLflow, LangChain, vector databases, or evaluation frameworks.
  • Experience with Azure and its ecosystem, Databricks, REST APIs for model serving, Docker, container orchestration, and relational and non-relational databases.
  • Strong software engineering practices across development, testing, operations, source management, and code reviews, plus cross-functional collaboration experience.

Nice to have

  • Contributions to open-source libraries.

Culture & Benefits

  • Flexible working hours and equipment support.
  • Wellness allowance, mental health support, private health, dental, life, and accident insurance.
  • Learning and development opportunities, employee resource groups, peer recognition, and sustainability events.
  • Remote work from abroad policy, hybrid allowance for electricity and internet, and meals and transportation vouchers.
  • Paid volunteer and personal days, a community service day, paid moving day, and reduced summer hours in July and August.

Hiring process

  • Submit a CV in English; every application receives a response.
  • Interview and assessment processes can be adjusted to support candidate needs.

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 →