Artificial Intelligence Integration Engineer

Job description

Overview/ Job Responsibilities We are seeking a skilled Artificial Intelligence Integration Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The AI Intelligence Engineer will design, implement, and maintain end-to-end machine learning pipelines, focusing on automating model deployment, monitoring model health, detecting data drift, and managing AI-related logging. This role will involve building scalable infrastructure and dashboards for real-time and historical insights, ensuring models are secure, performant, and aligned with business needs. Key Responsibilities: - Model Deployment : Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS SageMaker, ensuring scalability and low latency. - Monitoring and Observability : Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. - Data Drift Detection : Implement drift detection pipelines using tools like Evidently AI or Alibi Detect to identify shifts in data distributions and trigger alerts or retraining. - Logging and Tracing : Set...