bachelor's or Master's degree in Computer Science, Engineering, or a related field
proven experience in machine learning operations and deploying machine learning models in production environments
experience with big data technologies like Apache Spark, or Dataflow
extensive knowledge of Google Cloud Platform and its services, with a strong emphasis on Vertex AI
knowledge of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
proficiency in programming languages such as Python
Responsibility
collaborate with data scientists and software engineers to streamline the deployment of machine learning models into production environments
implement continuous integration and continuous deployment practices for machine learning models, ensuring seamless updates and rollbacks
optimize and tune machine learning models for performance, scalability, and cost-effectiveness on GCP and Vertex AI
monitor the performance of deployed models, identify issues, and implement proactive measures to ensure model reliability and accuracy
implement best practices for data governance, security, and compliance within the machine learning pipelines
design, build, and maintain scalable and reliable machine learning pipelines on GCP and Vertex AI, leveraging tools such as Cloud Build, Cloud Run, and Vertex AI Pipelines
collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
develop and maintain infrastructure as code solutions using tools like Terraform or Deployment Manager for provisioning and managing GCP resources
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