Senior AI Machine Learning Engineer (Manufacturing)

TL;DR

Senior AI Machine Learning Engineer (Azure/Python): Developing and deploying complex AI initiatives for the chemical industry with an accent on MLOps, scalable software architecture, and R&D challenges. Focus on building end-to-end ML pipelines, integrating models into robust production systems, and optimizing high-precision R&D use cases.

Location: On-site in Barcelona, Spain

Company

hirify.global partners with leading enterprises to define AI and Data strategies and execute large-scale transformations, currently supporting a client in the Flavor and Fragrance sector.

What you will do

• Design and develop scalable, maintainable AI solutions aligned with modern software engineering best practices.
• Deliver high-quality code for data, modeling, and deployment pipelines.
• Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.
• Translate AI research into predictable production value within an Agile/Scrum framework.
• Collaborate with technical and business stakeholders to translate challenges into technical requirements.

Requirements

• Senior proficiency in Python, including Design Patterns, Unit Testing, and Modular Code.
• Deep knowledge of AI/ML algorithms and mathematical foundations for high-precision R&D.
• Hands-on experience with Azure ML SDK/CLI or Azure Databricks.
• Proficiency in Docker and building deployment pipelines via Azure DevOps or GitLab.
• Location: Must be based in Barcelona, Spain (On-site)
• English: Full professional proficiency required

Nice to have

• Master’s degree or higher in Computer Science, AI, Data Science, or a related field.
• Exposure to formulation, chemistry, or the Fragrance & Flavour industry.
• Proficiency in French.

Culture & Benefits

• Direct employment with a major client in the Flavor and Fragrance sector.
• Opportunity to shape the future of an organization through AI-driven innovation.
• High-impact role working at the intersection of experimental AI research and disciplined software engineering.
• Collaborative environment working with senior leaders and cutting-edge technologies.