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The Position
As a Senior Data Scientist - ML Engineering, you will join the Global Analytics and Technology Center of Excellence (GATE) in San José, Costa Rica. In this role, you will own the end-to-end path from machine learning models to scalable, reliable production systems supporting general Roche affiliates. Operating across the full MLOps and software engineering stack, you will architect cloud-native ML pipelines, build automated testing and CI/CD frameworks, instrument model observability, and set high software craftsmanship standards across the engineering team.
The Opportunity
• ML Systems & Platform Engineering:
Architect, deploy, and maintain end-to-end production ML services, training pipelines, containerization, and orchestration (Airflow/Dagster) with strict SLAs for performance and cost
• MLOps Capability Building: Design reusable MLOps platform components including feature stores, model registries, experiment tracking, and automated CI/CD deployment pipelines using GitLab CI or GitHub Actions
• Model Accuracy & Observability: Build automated back-testing frameworks and instrumentation for tracking data/concept drift, feature anomalies, and model performance decay, translating diagnostic findings into root-cause fixes
• Cloud & Pipeline Automation: Implement cloud-native ML infrastructure across AWS, Azure, or GCP, systematically automating manual tasks and maintaining data synchronization contracts
• Technical Leadership & Coaching: Establish engineering standards through code reviews, refactor
📌 Senior Data Scientist (Chía)
🏢 Roche
📍 Chía