Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$76к$108кмедиана$151к
50 в выборке
На СНГ рынке: $4.4к/мес ($3.6к - $5.6к)
84
Хорошая вакансия
развернуть
Понятные задачи для Senior AI/ML Engineer, современный стек и сильный пакет льгот делают вакансию привлекательной, но без указанной зарплаты уровень оплаты остаётся неясным, а работать можно только из Испании.
Кликните для подробной информации
Зарплата не указанаТолько ИспанияСовременный стекПонятные задачиХорошие льготыБизнес-устойчивость
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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 →