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# Senior AI/ML Engineer

- **Company:** Blu Omega
- **Location:** Ashburn, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, Amazon Web Services, JIRA, Code Review, Continuous Integration, DevOps, Distributed Systems, Github, Python (Programming Language), Machine Learning, Pair Programming, Scrum Methodology, Tensorflow, Azure Machine Learning, Software Engineering, Management of Software Versions, Data Logging, Pytorch, Multi-Agent Systems, Generative AI, Scikit Learn, Information Technology, Machine Learning Operations, Software Coding, Data Pipelines, Databricks
- **Published:** September 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c7ff0e30c9433a3d

## About the Role

* 5-10+ years of professional software development experience building production-grade ML systems.
 * Expert-level coding skills in Python, with knowledge of testing, packaging, logging, and CI/CD practices.
 * Deep experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn.
 * Demonstrated experience deploying ML models into production environments using cloud-native tools (e.g., SageMaker, Azure ML, MLflow, Airflow).
 * Proficient in building and maintaining large-scale data pipelines in distributed environments.
 * Proven ability to implement MLOps practices supporting scalable ML (versioning, monitoring, retraining).
 * Experience with generative AI, agent frameworks, and retrieval-augmented generation (RAG) pipelines.
 * Ability to translate business problems into technical solutions with clear deliverables.
 * Familiarity with GitHub, JIRA, and Agile/Scrum methodologies.
 * Bachelor's degree in Computer Science, Data Science, or related technical field.
 * Eligible for Public Trust or equivalent clearance.

## Description

Blu Omega is seeking a Senior AI/ML Engineer to support our Federal Health team. This role is responsible for defining and developing mission-critical machine learning solutions within a cloud environment., * Write, test, and maintain production-quality code in Python to develop, deploy, and optimize machine learning models.

 * Design and implement robust ML workflows-including generative AI, agent-based architectures, and RAG pipelines.
 * Build scalable, automated training and inference pipelines using cloud-native tools (e.g., AWS SageMaker, Azure ML, Databricks).
 * Collaborate with software engineers, data scientists, and DevOps to integrate ML solutions into real-time and batch production systems.
 * Conduct code reviews, refactor legacy codebases, and enforce best practices in ML model lifecycle management.
 * Lead experiments and A/B testing initiatives to validate model performance and business impact.
 * Stay current with new AI research and help translate novel ideas into prototypes and products.
 * Document architectural decisions and development patterns to support reproducibility and knowledge sharing.
 * Mentor junior engineers and participate in coding bootcamps or pair programming sessions.