
Cloud Based Machine Learning Engineer
7 days ago
We are seeking a highly skilled Lead MLOps Engineer to join our team. As a key member of our machine learning operations team, you will be responsible for building and maintaining robust machine learning pipelines ensuring efficient model deployment monitoring and lifecycle management within a cloud-based environment.
Job Description- Develop and implement scalable MLOps pipelines in GCP Vertex AI for end-to-end machine learning workflows.
- Manage the full MLOps lifecycle from data preprocessing model training and deployment to model monitoring and drift detection.
- Implement real-time model monitoring and drift detection to ensure optimal model performance over time.
- Extensive expertise in MLOps specifically 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.
- Optimize model training and inference processes using GPU accelerators and CUDA.
- Utilize Python 3.10 with libraries such as pandas NumPy and TensorFlow to handle data processing and model development.
- Collaborate with cross-functional teams to automate and streamline machine learning model deployment and monitoring.
- Set up infrastructure for continuous training testing and deployment of machine learning models.
- Ensure scalability security and high availability in all machine learning operations by implementing best practices in MLOps.
- Prioritize quality and efficiency in all aspects of MLOps pipeline development and maintenance.
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