Bachelor's degree in Computer Science, Data Science, or equivalent practical experience.
6 years of experience in Artificial Intelligence/Machine Learning (AI/ML) as a technical business engineer or in software engineering.
Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch).
Experience in delivering technical presentations and leading detailed business value sessions.
Experience in developing Generative AI.
Preferred qualifications:
Certification in Google Cloud Platform (GCP) Professional Machine Learning Engineer.
Experience in architecting Machine Learning Operations (MLOps) systems in enterprise environments with building, scaling, and optimizing Machine Learning systems.
Experience with batch and online model serving with the knowledge of model management and monitoring.
Knowledge of Google Cloud Platform (GCP) services and how to use them for problem solving and data engineering, including BigQuery and Vertex AI.
Knowledge of Vertex AI model deployment with Vertex Pipelines, model deployment, Kubeflow or MLFlow for automation.
Excellent infrastructure building and maintenance skills for data engineering pipelines.