Machine Learning Engineer
at Genentech
San Francisco, CA 94015, USA -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 24 Oct, 2024 | USD 306800 Annual | 28 Jul, 2024 | 3 year(s) or above | Communication Skills,Datasets,Computer Science | No | No |
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Description:
THE POSITION
The Machine Learning Engineer sits on the Commercial Data Science (CDS)Team within our Strategic Analytics & Intelligence Organization (SAI) and exists to help the CMG (Commercial, Medical and Government) organization achieve its vision by unlocking value from data quicker and more effectively. As a center of excellence, the CDS team uses sophisticated data science capabilities, working across CMG to develop strategic and comprehensive solutions by identifying and leading innovative analytic projects & pilots to enable patient and customer solutions.
The Opportunity
The Machine Learning Engineer will bring a robust understanding of machine learning operations (MLOps) to manage and contribute to our machine learning initiatives.
- The Machine Learning Engineer will design, enhance, scale, and maintain machine learning solutions from conception to deployment in a production environment.
- Collaborate with data scientists, software engineers, and business partners to translate business requirements into scalable ML systems.
- Architect and uphold MLOps pipelines using job scheduling frameworks to streamline data preparation, training, deployment, and machine learning model lifecycles.
- In addition to ensuring standard processes in code quality, version control, and CI/CD for machine learning pipelines, you will also design and implement robust monitoring systems for deployed models to track performance, data drift, and anomalies.
- The MLOps Engineer will also pioneer and administer model retraining, A/B testing, and progressive deployment strategies for continuous model enhancement.
- You will contribute to the company’s machine learning architecture to support scalable and repeatable model training and deployment.
- Facilitate the creation of automated processes for model validation and testing.
- Position is located in South San Francisco and relocation benefits are not available.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:3.0Max:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Computer Science
Proficient
1
San Francisco, CA 94015, USA