Senior Machine Learning Engineer

En Roche puedes ser tú mismo y sentirte valorado por tus cualidades únicas. Nuestra cultura fomenta la expresión personal, el diálogo abierto y las conexiones genuinas, donde eres valorado, aceptado y respetado por lo que eres, permitiéndote prosperar tanto de manera personal como profesionalmente. Así es como buscamos prevenir, detener y curar enfermedades y asegurarnos de que todos tengan acceso a la atención sanitaria hoy y para las futuras generaciones. Únete a Roche, donde cada voz importa. La posición 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. Quienes somos Alcanzar un futuro más saludable es lo que nos impulsa a innovar. Juntos, más de 100.000 empleados en todo el mundo están dedicados a avanzar en la ciencia, asegurando que todos tengan acceso a la atención sanitaria hoy y para las futuras generaciones. Nuestros esfuerzos resultan en más de 26 millones de personas tratadas con nuestros medicamentos y más de 30 mil millones de pruebas realizadas con nuestros productos de Diagnósticos. Nos damos apoyo mutuamente para explorar nuevas posibilidades, fomentar la creatividad y mantener altas nuestras ambiciones, para poder ofrecer soluciones sanitarias que cambian la vida e impactan a nivel global. Construyamos juntos un futuro más saludable. Roche es una empresa que ofrece igualdad de oportunidades.