Senior AI Machine Learning Engineer

Visium SA; Barcelona; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation package

Yearly education budget

Sport budget

Flexible working culture

Impactful position

Collaborative international team

Descripción de la vacante

A leading AI solutions provider in Barcelona is seeking a Senior AI/ML Engineer. This role involves developing and deploying AI initiatives, focusing on the full lifecycle of machine learning solutions. The ideal candidate will have strong programming skills, expertise in MLOps, and a passion for driving real-world impact through data. You will work collaboratively within an Agile framework to build scalable systems, ensuring high standards of performance and reliability. The company offers a competitive compensation package and a flexible working culture.

Formación

• Senior proficiency in Python with best practices.
• Solid understanding of AI/ML architectures.
• Deep knowledge of AI/ML algorithms.

Responsabilidades

• Contribute to the design and development of scalable AI solutions.
• Deliver high-quality code for data and modeling pipelines.
• Implement and maintain robust MLOps workflows.

Conocimientos

Production‑Level Programming

System Design

Modeling Depth

Data Engineering

MLOps Expertise

Agile Methodology

Educación

Master’s degree or higher in Computer Science

Herramientas

Azure ML SDK/CLI

Docker

GitLab

Azure DevOps

Descripción del empleo

As a Senior AI/ML Engineer, you are a key technical contributor responsible for developing and deploying complex AI initiatives. You will focus on the end-to-end lifecycle of ML solutions, from technical design and coding to production deployment and continuous optimization. This is a high-impact technical role. You will apply deep engineering rigor to build scalable, reliable systems that solve real-world R&D challenges. You don't just build models; you ensure they are integrated into robust software architectures that meet the highest standards of performance and reliability.

Responsibilities

• Technical Implementation: Contribute to the design and development of scalable, maintainable AI solutions aligned with modern best practices.
• Hands‑On Development: Deliver high-quality code for data, modelling, and deployment pipelines, leading the team through engineering rigor.
• MLOps Mastery: Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.
• Agile Delivery: Work within an Agile framework to ensure research translates into predictable production value, meeting project milestones and deadlines.
• Business Advisory: Partner with technical and business stakeholders to translate business challenges into technical requirements and clear project updates.

Who you are

You are passionate about AI and driven to deliver real-world impact through data. You thrive in R&D‑heavy environments involving sparse or high‑dimensional data, excelling at the intersection of experimental AI research and disciplined software engineering. You are a clear communicator who can explain technical trade‑offs to both engineering peers and business stakeholders.

Advanced AI/ML Engineering & Software Craftsmanship

• Production‑Level Programming: Senior proficiency in Python, with a strong commitment to software engineering best practices (Design Patterns, Unit Testing, and Modular Code).
• System Design: Solid understanding of modern AI/ML architectures and data platforms to build robust, performant systems.
• Modeling Depth: Deep knowledge of AI/ML algorithms and the mathematical foundations required to tune models for high‑precision R&D use cases.
• Data Engineering: Proficiency in handling data structures and pipelines to ensure model inputs are reliable and optimized.

Advanced MLOps & Cloud Infrastructure

• Azure: Hands‑on experience with the Azure ML SDK/CLI or Azure Databricks, including managed online endpoints, compute clusters, and data assets.
• CI/CD: Experience building and maintaining deployment pipelines using Azure DevOps or automation in GitLab.
• Containerization: Proficiency in Docker for packaging and scaling AI/ML workloads within cloud‑native environments.
• Observability & Reliability: Ability to implement monitoring for system health (latency/CPU) and model performance (drift, accuracy, and data quality).

Professional Collaboration

• Agile Methodology: Experience working within an Agile/Scrum framework to deliver consistent project velocity.
• Technical Translation: Ability to communicate complex trade‑offs clearly to non‑technical stakeholders.
• Project Delivery: Proven track record of taking ML models from a research phase to a stable production environment.

Contextual Plus

• Academic Background: Master’s degree or higher in Computer Science, AI, Data Science, or a related field.
• Domain Expertise (Preferred): Exposure to formulation, chemistry or the Fragrance & Flavour industry.
• Languages: Full professional proficiency in English; French is strongly preferred.

What we offer

• A competitive compensation package
• A yearly education budget to steep your learning curve
• A yearly sport budget because a fit body leads to a fit mind
• A flexible working culture because your work‑life balance matters to us
• A position that enables you to have an impact on 1,000s of people, and the whole company's growth.
• An international, knowledgeable, and passionate team with a strong collaborative mindset

Check our LinkedIn and website to learn more about us & don’t hesitate to contact us if you have any questions.