· Implement and manage version control, continuous integration, and continuous deployment (CI/CD) systems for Machine Learning models and related software components.
· Monitor the performance and health of deployed Machine Learning models, making necessary adjustments and improvements to ensure optimal performance and reliability.
· Develop and maintain tools and processes to automate and streamline Machine Learning model deployment, monitoring, and management.
· Troubleshoot and resolve issues related to Machine Learning model deployment and infrastructure.
· Document and communicate MLOps processes, guidelines and procedures to ensure consistency and knowledge sharing across the organization.
· Writing production level test driven code in Python and/or Java and Scala.
· Deploying and optimizing different pipelines that support various Data Science processes.
· Establish and set up model Life Cycle Management with tools like MLflow, etc.
· Developing and deploying Spark / Databricks jobs with enterprise tool stack including Jenkins, GitHub actions.
· Deployment utilizing containerization solutions like Docker and Kubernetes.
· Work as an Agile team member in a scrum team and collaborate with other Engineers and Scientists.
· Work with Product Managers and Senior Scientists to deliver on the modeling needs
· Cloud Platform: Google Cloud Platform (GCP) services, including AI Platform, Vertex AI, Dataflow, BigQuery, Cloud Storage, and Kubernetes Engine.
· Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn.
· Data Processing and Pipeline: Apache Beam - Dataflow, and Apache Airflow, DataProc.
· CI/CD and Version Control: Jenkins and Git.
· Containerization and Orchestration: Docker for containerization and Kubernetes with Helm.
· Experiment Tracking and Model Versioning: MLflow, DVC, or TFX for tracking experiments, managing model versions, and ensuring reproducibility.
· Monitoring and Logging: Vertex AI Monitoring.
· Programming Languages: Python, Scala
Software Developer with Bachelor’s Degree in Computer Science, Computer Information Systems, Information Technology, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.