Design, develop, implement, and fine-tune AI and machine learning models to support web-based applications in secure environments with evolving use cases.
Build and maintain data pipelines, training workflows, and experimentation environments to enable rapid model iteration and evaluation.
Evaluate model performance using quantitative and qualitative metrics (e.g., accuracy, robustness, stability, efficiency, generalization) and translate results into actionable improvements.
Analyze data, model outputs, and experimental results to recommend changes to algorithms, features, data sources, or system architecture.
Proactively identify and assess tools, frameworks, and technologies that best support platform goals, balancing performance, scalability, and maintainability.
Collaborate closely with software developers, data engineers, DevSecOps teams, and stakeholders to integrate AI capabilities into production systems.
Ensure AI and data science solutions are transparent, testable, and maintainable to support long-term operational use.
Communicate technical approaches, assumptions, tradeoffs, and results clearly to both technical and non-technical audiences, including during design reviews and demonstrations.

An Active Secret security clearance
Bachelor's degree in Computer Science, Engineering, Data Science or related technical discipline.
4+ years of experience building and managing ETL and ELT data pipelines within Databricks environment
Hands-on experience with Python and SQL and libraries such as TensorFlow, PyTorch, Scikit-learn
Experience deploying models on cloud platforms (such as AWS, GCP, Azure) and containerization tools (Docker, Kubernetes)
Experience managing model deployment and monitoring (MLOps, MLflow, Kubeflow, etc.)
Knowledge of data modeling, neural network architectures, and software development and CI/CD best practices
Must be willing/able to travel to customer, as needed

Senior AI/ML Engineer

Key skills