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Machine Learning Operations Engineer
7 days ago
About the Role:
We are looking for an experienced MLOps professional to join our Global Capability Center. As a member of our team, you will be responsible for designing, deploying, and managing machine learning pipelines in Google Cloud Platform (GCP).
Responsibilities:
- Design and implement efficient machine learning workflows using Vertex AI, Kubeflow, and other GCP tools.
- Collaborate with cross-functional teams to develop and deploy machine learning models.
- Monitor and optimize model performance using various metrics and tools.
- Ensure model reliability and integrity through versioning, auditing, and rollback mechanisms.
- Develop and maintain technical documentation for machine learning applications and systems.
- Stay up-to-date with industry trends and technologies to recommend improvements and modernizations to our applications.
Requirements:
- Minimum 3 years of experience in MLOps, machine learning engineering, or related fields.
- Strong expertise in programming languages like Python, SQL.
- Excellent understanding of cloud computing platforms, particularly GCP.
- Experience with containerization, orchestration, and service mesh technologies.
- Ability to communicate complex technical ideas effectively to both technical and non-technical audiences.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.