Senior Machine Learning Engineer

Roche Holding AG; Sant Cugat del Vallès; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Roche Holding AG recherche un Senior Machine Learning Engineer pour piloter des initiatives ML et la plateforme de données. Vous serez le référent technique pour l’architecture et l’intégration des modèles dans les flux de production, en collaboration avec les Data Scientists.

Le poste nécessite une expertise robuste en Python, ML workflows et infra cloud/hpc, avec une forte aptitude à diriger et à livrer des solutions scalables dans un environnement international et exigeant.

Formación

• Diplôme en informatique ou domaine proche.
• Expérience significative en ingénierie logicielle avec Python et architecture d’applications.
• Connaissance des meilleures pratiques de test et de contrôle de version.
• Maîtrise des workflows ML et des infrastructures pour les plateformes ML.
• Bonne compréhension des bases de données relationnelles et No-SQL et du stockage objet.

Responsabilidades

• Faire liaison technique entre les parties prenantes et l’équipe Data Science et déployer des modèles en production.
• Concevoir et faire évoluer des plateformes ML et cloud/native (MLOps).
• Planifier et développer des outils d’entreprise pour accélérer la recherche et l’évaluation des modèles.
• Assurer l’architecture logicielle et des données au sein des initiatives Data Science.
• Mentoriser les pairs et promouvoir l’excellence en ingénierie.

Conocimientos

Python

ML workflows

TDD/ATDD

Version control

Linux environments

Data platforms

Educación

Diplôme en informatique ou génie logiciel

Herramientas

AWS

HPC

Relational Databases

No-SQL

ETL tools

Linux

Descripción del empleo

Chez Roche, vous pouvez être vous-même et être apprécié pour les qualités uniques que vous apportez. Notre culture encourage l'expression personnelle, le dialogue ouvert et les connexions authentiques, où vous êtes valorisé, accepté et respecté pour ce que vous êtes, vous permettant de prospérer tant personnellement que professionnellement. Voici comment nous visons à prévenir, arrêter et guérir les maladies et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Rejoignez Roche, où chaque voix compte.

La position

Who We Are

At Roche Diagnostics Solutions (RDS), our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique. Within Computational Science & Informatics (CSI), we are the bridge between our origin and our future, shaping the next era of human health through precise, data-driven diagnostics and precision medicine.

We excel in delivering rigorous, clinically actionable data analysis across our diagnostics portfolio, believing that advancing computational methods and informatics solutions is essential to harnessing dynamic human health data. By listening closely to patients and physicians, and leveraging digitization and cutting-edge technologies, we work collaboratively to turn insights into impact.

This shared spirit creates an environment where ideas grow, new approaches are trialed, and competitive products reach patients faster—ultimately realizing the DIA 10-year vision and our One Roche ambitions so that everyone can access personalized healthcare solutions.

The Opportunity

We are looking for a Senior Machine Learning Engineer with a strong technical background rooted in fundamental computer science and database management. The position requires a team player who strives for engineering and technical excellence, and is passionate about leveraging technology to change the face of medicine.

In this role, you will act as a technical lead, driving the long-term planning, architecture, and design of initiatives such as our core ML and Data Platform. You will handle complex data projects alongside cross-functional teams, providing the robust infrastructure and tooling necessary for our Data Scientists to accomplish their research and production goals efficiently.

Key Responsibilities:

• Act as the central technical liaison between project stakeholders and the Data Science team, taking full ownership of integrating and deploying algorithms and machine learning models into production workflows.

• Design, build, and scale cloud-native and hybrid data and machine learning platforms (MLOps) tailored to the complex, evolving needs of our established Data Science team.

• Plan, architect, and develop long-term enterprise tooling and infrastructure for internal use to accelerate and streamline ML model research, training, and evaluation.

• Take responsibility for the end-to-end software and data architecture within Data Science initiatives, independently driving the specification, implementation, and testing of complex technical assignments.

• Serve as a technical lead and subject matter expert, gathering requirements from data-focused profiles to continuously improve the ML platform while mentoring peers to foster a culture of engineering excellence.

Who You Are

You are a collaborative technical leader who strives for engineering excellence and is passionate about leveraging technology to change the face of medicine. You excel at navigating ambiguity, enjoy handling complex data projects, and love mentoring others to grow technically.

Qualifications & Skills:

The Must-Haves

• A Degree in Computer Science, Software Engineering, or a closely related technical field.

• Extensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design Patterns.

• Strict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version control.

• A very good understanding of complete ML workflows and hands‑on experience provisioning the infrastructure required to support them.

• Significant experience with various storage technologies, understanding their specific trade-offs (e.g., Relational Databases, No-SQL Databases, Object Storage).

• Solid knowledge and practical experience with HPC (High-Performance Computing) and AWS-based data engineering and analytics solutions.

• Tech Stack Alignment: Deep familiarity with the Python data ecosystem (e.g., NumPy, Pandas, Scikit-learn), proficiency in Linux environments, and hands‑on experience with modern data integration, ETL, and MLOps tools.

The Nice-to-Haves:

• Domain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcare.

• Experience building, deploying, or working with Large Language Models (LLMs) and agentic systems.

• Official Cloud certifications (e.g., AWS Certified Solutions Architect - Professional).

• Proven experience working successfully within large, globally distributed, or international enterprise environments.

At Roche, we embrace emerging innovations, like AI, to enhance the patient journey. If you’re passionate about new technology and thinking ahead, join us in building a healthier future together.

* This is an on-site position and no relocation assistance is provided.

Qui nous sommes

Un avenir plus sain nous pousse à innover. Ensemble, plus de 100 000 employés à travers le monde sont dédiés à faire progresser la science et à garantir à chacun l'accès aux soins de santé aujourd'hui et pour les générations à venir. Nos efforts aboutissent à plus de 26 millions de personnes traitées avec nos médicaments et plus de 30 milliards de tests réalisés avec nos produits de Diagnostique. Nous nous encourageons mutuellement à explorer de nouvelles possibilités, à favoriser la créativité et à conserver nos grandes ambitions, afin de fournir des solutions de santé qui changent des vies et ont un impact mondial.

Construisons ensemble un avenir plus sain.

Roche est un employeur offrant l'équité en matière d'emploi.