Applied AI Specialist – Data Systems

Join Element and make a difference in the lives of others. As an Applied AI Specialist – Data Systems, you will design, build, and maintain data pipelines that support machine learning experimentation, model training, and production inference workloads.

Requirements

• Design, build, and maintain data pipelines that directly support machine learning experimentation, model training, and production inference workloads.
• Prepare curated datasets for supervised and unsupervised learning use cases.
• Partner with AI engineers to support algorithm development, feature engineering, and model performance optimization.
• Develop and operationalize data workflows supporting model deployment, monitoring, retraining, and version control.
• Implement data integration patterns for ML pipelines using tools such as MLflow, Airflow, dbt, and CI/CD workflows.
• Support scalable model serving environments and ensure data reliability for APIs and AI-driven applications.
• Build, maintain, and optimize batch and/or streaming ETL/ELT pipelines using SQL and Python.
• Implement monitoring and alerting for model training datasets and inference inputs (freshness, drift, anomalies).
• Contribute to code reviews, Git workflows, testing practices, and technical documentation.

Benefits

• Comprehensive health and welfare benefits
• Paid time-off programs
• Additional benefits and amenities