Senior Machine Learning Engineer

Odyssey Systems Consulting Group, Ltd.•Lincoln, MA

24d•$165,000 - $195,000•Hybrid

About The Position

The Odyssey Technical Center has an exciting new opportunity for a Solution Architect to lead Odyssey’s AI and Autonomy technical domains. We are seeking a 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 delivering vetted concepts and solutions that support both internal teams and enterprise-level applications. This role owns the cross-cutting technical charter and operating model for AI and Autonomy and supports 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.

Requirements

Must be a US citizen
Ability to Acquire Secret Clearance
Bachelor of Science, Engineering or Computer Science
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

Nice To Haves

Ability to Acquire Top Secret Clearance
Master of Science, Systems Engineering
7+ years of experience

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.