Senior Machine Learning Engineer

Odyssey is hiring a Senior Machine Learning Engineer to design, build, and deploy secure, scalable machine learning systems across the enterprise. The role leads ML architecture and MLOps work, develops AI platform capabilities and computer vision systems, and partners with engineering, research, and product teams to deliver enterprise solutions.

Responsibilities:

• Architect, deploy, and maintain secure ML systems including gateways, authorization frameworks, and scalable model endpoints
• Build self-service tooling, templates, and automation to accelerate agentic AI and model development workflows
• Develop and maintain enterprise CI/CD pipelines for ML services, model deployment, and package distribution
• Create robust model evaluation tooling enabling repeatable, versioned model selection and experiment tracking
• Design and deliver computer vision systems for product detection, dataset generation, and image-based search capabilities
• Implement automated validation, conversion, and cost-optimized deployment pipelines for ML models
• Build backend microservices to support deep learning inference, image augmentation, and a variety of AI-enabled applications
• Partner cross-functionally with engineering, research, and product teams to translate requirements into scalable ML solutions
• Ensure reliability, observability, and security across deployed GenAI endpoints and ML infrastructure

Requirements:

• Must be a US citizen
• Ability to Acquire Secret Clearance
• Bachelor of Science, Engineering or Computer Science
• 5 +
• Bachelor's degree in Computer Science , Engineering, or related technical field
• 5+ years of experience in Machine Learning Engineering, MLOps , AI Systems Engineering, or similar roles
• Proven experience architecting secure ML platforms, gateways, or authorization systems for enterprise environments
• Expertise developing and training models and systems using Python, PyTorch , and OpenCV
• Strong experience with cloud-based ML ecosystems such as AWS SageMaker, Lambda, S3, or equivalent
• Hands-on experience building CI/CD pipelines using tools such as GitLab and containerization tools such as Docker and Kubernetes
• Experience with ML lifecycle management frameworks such as MLflow , ClearML , or Databricks
• Demonstrated ability to create reusable model deployment templates, automated validation tooling, and scalable inference APIs
• Familiarity with distributed systems and messaging tools like Apache Kafka and RabbitMQ
• Proficiency with backend development using standard languages such as Python, C# , C++ , Java, and SQL
• Strong written and verbal communication skills
• Ability to develop and present technical briefings and recommendations
• Ability to explain technical concepts to audiences at different levels
• Ability to work effectively within Integrated Product Teams (IPT)
• Strong analytical and problem-solving skills
• Ability to collaborate with Government, military, and contractor personnel
• Ability to Acquire Top Secret Clearance
• Master of Science, Systems Engineering
• 7 +