Machine Learning Engineering Leader
4 days ago
We are seeking a skilled Machine Learning Engineer to lead our team in developing and implementing robust machine learning pipelines.
Responsibilities:
- Build scalable ML pipelines for end-to-end machine learning workflows.
- Manage the entire ML lifecycle from data preprocessing, model training, and deployment to model monitoring and drift detection.
- Implement real-time model monitoring and drift detection for optimal model performance.
- Collaborate with cross-functional teams to automate and streamline ML model deployment and monitoring.
- Optimize model training and inference processes using GPU accelerators.
Requirements:
- Extensive experience in MLOps with Google Cloud Platform (GCP) and Vertex AI.
- Deep understanding of model performance drift detection and GPU accelerators.
- Hands-on experience in Jenkins, GitHub Pipelines, Docker, Kubernetes, and OpenShift.
- Strong knowledge of best practices in MLOps and ability to implement them.
What We Offer:
- Opportunity to work with talented engineers and researchers.
- Chance to develop cutting-edge ML solutions.
- Professional growth and development opportunities.
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