Job Summary
A company is looking for a Senior AI/ML Engineer to join a growing team in support of a federal program, fully remote.
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 Master's degree and five years of related experience
- Strong experience in AI/ML engineering, specifically with Databricks, JupyterHub, and AWS AI/ML services
- Proficient in Python, SQL, Spark, and machine learning frameworks
- Demonstrated experience with MLFlow, CI/CD pipelines, infrastructure-as-code, and Git-based version control
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