Machine Learning Engineer

To support the Data & AI organization, the full-time Google Cloud Licensed Machine Learning Engineer will design, build, and deploy production-grade machine learning models and AI systems, ensuring efficient operation across cloud architectures and edge devices while collaborating with cross-functional teams in a remote environment. Key responsibilities: Operationalize and scale machine learning models into production systems using GCP Vertex AI for low-latency execution Design and maintain end-to-end ML pipelines for data preprocessing and continuous model training using Vertex AI Pipelines Optimize ML algorithms and deep learning models for computational efficiency on GCP infrastructure Required qualifications: Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related field (Master's preferred) 3+ years of experience in software engineering or machine learning engineering with a focus on deploying models to production Advanced proficiency in Python and familiarity with core ML frameworks such as PyTorch and TensorFlow Strong knowledge of Google Cloud Platform, particularly Vertex AI, BigQuery, and Google Cloud Storage Experience with Docker, Kubernetes, MLOps, and CI/CD toolchains