The Odyssey Technical Center has an exciting new opportunity for aSolution Architect toleadOdysseys AI and Autonomy technical domains.We areseekinga highly skilled Machine Learning Engineer to design, build, and deploy advanced ML systems that power scalable, secure, and high-impact AI capabilities across the enterprise. The ideal candidate has deep experience in ML architecture,MLOps, backend microservices, and cloud-native technologies. This role will be instrumental in shaping our AI platform, accelerating model development, and deliveringvetted concepts andsolutions that support both internal teams and enterprise-level applications.This role owns the cross-cutting technical charter and operating model forAIandAutonomy andsupports growth and development of the Technical Center and of the larger Odyssey Technical community. This position can be in Huntsville, AL, Lincoln, MA, or REMOTE.

Duties include, butarenot limited to:

• Architect, deploy, andmaintainsecure 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 andmaintainenterprise 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, anda 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.

Citizenship: Must be a US citizen

Minimum Required Qualifications

Clearance: Ability to Acquire Secret Clearance

Education: Bachelor of Science, Engineering or Computer Science

Years of Experience:5+

Certifications: N/A

Preferred Qualifications

Clearance: Ability to Acquire Top Secret Clearance

Education: Master of Science, Systems Engineering

Years of experience:7+

Certifications: N/A

Technical Skills

• Bachelors 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.

• Expertisedevelopingand trainingmodels 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 usingtools such asGitLaband containerization toolssuch asDocker and Kubernetes.

• Experience with MLlifecycle managementframeworks such asMLflow,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.

• Proficiencywith backend development usingstandard languages such asPython, C#, C++, Java, and SQL.

Interpersonal Skills

• Strong written and verbal communication skills

• Ability to develop and present technical briefings and recommendations

• Ability to explain technical concepts to audiences atdifferent 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

Additional Information

Location: Huntsville, AL, Lincoln, MA, or REMOTE

Travel: 25%

Remote, Onsite, or Hybrid: Onsite or Remote

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