AI Engineer

Responsible for designing, training, and validating machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets. Responsible for developing and maintaining MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability. Will rapidly prototype AI features and deploy robust solutions. Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization. Translating business needs into practical AI solutions, documenting methodologies and results. Ensure fairness, interpretability, and regulatory compliance in AI deployments and implementing monitoring strategies to detect model drift, bias, or performance degradation.