Senior AI/ML Engineer

Job Summary

A company is looking for a Senior AI/ML Engineer to join a growing team in support of a federal program.

Key Responsibilities

• Build and maintain robust pipelines for data ingestion, exploration, feature engineering, and model training across Databricks and AWS-native services
• Operationalize tools such as MLFlow for experiment tracking, model registry, versioning, and lifecycle governance
• Integrate with T-Cloud Bitbucket and CI/CD pipelines to enable secure, traceable development workflows

Required Qualifications

• Must be able to obtain a Public Trust clearance
• Bachelor's degree and seven years of related experience or a Master's degree and five years of related experience
• Strong experience in AI/ML engineering, particularly with Databricks, JupyterHub, and AWS AI/ML services
• Proficient in Python, SQL, Spark, and machine learning frameworks for model development and deployment
• Demonstrated experience with MLFlow, CI/CD pipelines, infrastructure-as-code, and Git-based version control