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Senior AI Machine Learning Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Machine Learning Engineer (AI) (Python/Azure/MLOps): Developing and deploying scalable AI/ML solutions for real-world R&D challenges with an accent on production-grade software engineering, cloud infrastructure, and model reliability. Focus on building CI/CD and MLOps workflows, containerizing workloads, implementing observability, and moving models from research into stable production environments.

Location: Barcelona, Catalonia, Spain; Workplace: On-site

Company

hirify.global partners with enterprises on AI and data strategy, large-scale transformations, cloud platform engineering, and artificial intelligence integration.

What you will do

  • Design and develop scalable, maintainable AI solutions using modern engineering practices.
  • Write production-quality code for data, modeling, and deployment pipelines.
  • Implement and maintain MLOps workflows covering CI/CD, containerization, and model observability.
  • Build reliable AI systems for sparse or high-dimensional R&D data and integrate models into production software architectures.
  • Work within Agile/Scrum delivery frameworks and translate business challenges into technical requirements.
  • Communicate technical trade-offs and project updates to engineering and business stakeholders.

Requirements

  • Senior-level Python proficiency and strong software engineering practices, including design patterns, unit testing, and modular code.
  • Strong knowledge of AI/ML algorithms, mathematical foundations, modern AI/ML architectures, data platforms, and data pipelines.
  • Hands-on Azure experience with the Azure ML SDK/CLI or Azure Databricks, including online endpoints, compute clusters, and data assets.
  • Experience with CI/CD pipelines using Azure DevOps or GitLab automation, plus Docker-based containerization.
  • Ability to monitor system health, model performance, drift, accuracy, and data quality, and to take ML models from research to production.
  • Full professional proficiency in English is required. Experience with Agile/Scrum and clear communication with non-technical stakeholders are also required.

Nice to have

  • Master’s degree or higher in Computer Science, AI, Data Science, or a related field.
  • Experience with formulation, chemistry, or the Fragrance & Flavour industry.
  • French proficiency is strongly preferred.

Culture & Benefits

  • Work on a major AI and data transformation for a client in the Flavor and Fragrance sector.
  • Collaborate with senior leaders, technical stakeholders, and business teams.
  • Operate in an R&D-focused environment combining experimental AI research with disciplined software engineering.
  • Join the client’s organization as a direct employee of the client.

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