Senior Machine Learning Engineer
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Job Description
Machine Learning Engineer building secure ML platforms, computer vision systems, and AI microservices. Supporting Odyssey’s defense, ISR, and warfighter readiness capabilities.
Responsibilities:
- Architect, deploy, and maintain secure ML systems, including gateways, authorization frameworks, and scalable model endpoints
- Build self-service tooling, templates, and automation for 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 for repeatable, versioned model selection and experiment tracking
- Design and deliver computer vision systems for product detection, dataset generation, and image-based search
- Implement automated validation, conversion, and cost-optimized deployment pipelines for ML models
- Build backend microservices supporting deep learning inference, image augmentation, and AI-enabled applications
- Partner 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
- Own the cross-cutting technical charter and operating model for AI and Autonomy
- Support growth and development of the Technical Center and the larger Odyssey Technical community
Requirements:
- Must be a US citizen
- Ability to acquire Secret Clearance
- 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
- Experience with 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 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 travel 25%
Benefits:
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Tricare supplement
- Short-term disability
- Long-term disability
- 401(k) match
- Flexible spending accounts
- Health savings accounts
- Employee assistance program
- Learning and development benefit
- Paid time off
- Holidays
- Employer match program
- Volunteering events
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