This role involves designing and building scalable machine learning systems within Roche's dynamic data ecosystem to drive better healthcare outcomes
Job Summary
This role involves designing and building scalable machine learning systems within Roche's dynamic data ecosystem to drive better healthcare outcomes.
The successful candidate will collaborate with cross-functional teams to operationalize cutting-edge models and ensure seamless transitions from experimental to production setups.
Roche fosters a culture of personal expression and open dialogue where every voice matters in the mission to prevent, stop, and cure diseases.
Matching Summary
This role involves designing and building scalable machine learning systems within Roche's dynamic data ecosystem to drive better healthcare outcomes.
Skills & Requirements
Must-have
4+ years Machine Learning Engineering experience
Python PySpark SQL proficiency
AWS SageMaker Lambda deployment
Docker Kubernetes containerization
CI/CD GitHub Actions Jenkins
Scikit-learn TensorFlow PyTorch MLflow
Nice-to-have
Generative AI Large Language Models
Kubeflow Airflow orchestration tools
GCP or Azure cloud familiarity
Mentorship of junior engineers
Ethical AI implementation advocacy
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
4+ years hands-on experience in MLOps or Data Engineering
Proven track record in deploying supervised and unsupervised models