Senior Machine Learning Engineer – Roche Diagnostics Solutions
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.
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 the 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.
Qualifications & Skills
* Must‑Haves:
o A Degree in Computer Science, Software Engineering, or a closely related technical field.
o Extensive professional experience in software engineering with Python, including a deep understanding of Application Architecture and Design Patterns.
o Strict adherence to coding best practices (e.g., TDD, ATDD), rigorous testing strategies, and proper version control.
o Very good understanding of complete ML workflows and hands‑on experience provisioning the infrastructure required to support them.
o Significant experience with various storage technologies; understanding their specific trade‑offs (Relational Databases, No‑SQL Databases, Object Storage).
o Solid knowledge and practical experience with HPC (High‑Performance Computing) and AWS‑based data engineering and analytics solutions.
o Deep familiarity with the Python data ecosystem (NumPy, Pandas, Scikit‑learn), proficiency in Linux environments, and hands‑on experience with modern data integration, ETL, and MLOps tools.
* Nice‑to‑Haves:
o Domain knowledge or a strong interest in the life sciences sector, specifically Sequencing, PCR, Bioinformatics, or digital healthcare.
o Experience building, deploying, or working with Large Language Models (LLMs) and agentic systems.
o Official Cloud certifications (e.g., AWS Certified Solutions Architect – Professional).
o Proven experience working successfully within large, globally distributed, or international enterprise environments.
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.
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