ppbLocation Work model: /b Barcelona | Hybrid /p ul libSalary Benefits: /b €40,000 - €50,000 gross per year + meal vouchers, flexible perks, and early Friday wrap-ups! /li /ul h3What's the project? /h3 pOur client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry. With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech. /p pRight now, they are heavily investing in bringing cutting-edge technology into traditional formulation, chemistry, and supply processes. The goal? To build state-of-the-art AI solutions, streamline integral operations, and unlock high-impact data-driven products across their international ecosystem. You'll be jumping right into the heart of their digital transformation journey! /p h3And your role in this? /h3 pAs the bJunior AI ML Engineer /b, you will be a key contributor to the end-to-end machine learning lifecycle. Working closely alongside senior engineers within the digital and data team, you will apply engineering rigor to help build, test, and scale reliable systems that solve real-world RD challenges. Your main mission is to support the team in turning complex AI concepts into viable, scalable, and operationally sound products. /p pYou will actively participate in the design, development, and automation of workflows, learning modern best practices while ensuring everything runs smoothly and predictably. /p h3More specifically, you will: /h3 ul liContribute high-quality code for data, modeling,



and deployment pipelines under the guidance of senior technical team members. /li liSupport the implementation and maintenance of MLOps workflows, focusing on automated CI/CD, containerization, and model monitoring. /li liParticipate in the technical design and optimization of scalable AI solutions, aligning your work with modern software engineering best practices. /li liWork within an Agile framework to help translate research into predictable production value while maintaining compliance with data guidelines. /li liCollaborate with technical teammates to better understand business challenges and transform them into technical requirements. /li /ul h3Ok, what should you bring? /h3 pWe’re looking for a passionate, growth-minded engineer who loves the challenge of productionizing AI, values clean code, and is eager to develop their skills alongside a world-class team. /p h3The Must-Haves: /h3 ul libExperience: /b Initial hands-on experience or relevant academic/project background in IT or Engineering, focusing on AI/ML and software development. /li libTechnical Foundation: /b Solid proficiency in Python and a strong understanding of foundational AI/ML algorithms, architectures, and data engineering basics. /li libMLOps Cloud Exposure:



/b Basic familiarity or exposure to tools like Azure ML, Databricks, CI/CD pipelines, Docker, or cloud-based deployment environments. /li libDelivery Muscle: /b Experience working in Agile environments with the ability to clearly communicate technical concepts and collaborate effectively within a team. /li libLanguages: /b Full professional proficiency in English. /li /ul h3The Nice-to-Haves: /h3 ul libFrench fluency /b is strongly preferred and will make collaborating with key regional teams a breeze! /li liPrior exposure to chemistry, formulation, or the fragrance flavor industry. /li /ul h3Is that it? /h3 pNot quite! Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role: /p ul libThe Target Challenge: /b Building AI tools for a heritage industry isn't always easy—you'll need to navigate cross-functional dynamics, learn quickly from your peers, and help bring diverse teams along on the digital journey. /li libThe Salary Package: /b A fixed annual salary ranging between b€40,000 and €50,000 /b, accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance. /li libThe Vibes: /b Stable, inclusive, and grounded in long-term human values. The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work. /li /ul /p #J-18808-Ljbffr

📌 Junior AI & ML Engineer (Barcelona)
🏢 Blu Selection
📍 Barcelona