Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Alabama, +1 more state.

📋 Description

• Design, implement, and sustain secure ML systems, encompassing gateways, authorization frameworks, and scalable model endpoints.

• Develop self-service tools, templates, and automation for agentic AI and model development workflows.

• Create and manage enterprise CI/CD pipelines for ML services, model deployment, and package distribution.

• Establish robust model evaluation tools for consistent, versioned model selection and experiment tracking.

• Engineer and deliver computer vision systems for product detection, dataset generation, and image-based search.

• Execute automated validation, conversion, and cost-effective deployment pipelines for ML models.

• Construct backend microservices that support deep learning inference, image augmentation, and AI-driven applications.

• Collaborate with engineering, research, and product teams to translate requirements into scalable ML solutions.

• Ensure reliability, observability, and security throughout deployed GenAI endpoints and the ML infrastructure.

• Oversee the overarching technical charter and operating model for AI and Autonomy.

• Foster growth and development within the Technical Center and the broader Odyssey Technical community.

⛳️ Requirements

• Must be a US citizen.

• Capability to obtain Secret Clearance.

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

• Over 5 years of experience in Machine Learning Engineering, MLOps, AI Systems Engineering, or comparable roles.

• Demonstrated experience in architecting secure ML platforms, gateways, or authorization systems for enterprise settings.

• Proficiency in developing and training models and systems utilizing Python, PyTorch, and OpenCV.

• Extensive experience with cloud-based ML ecosystems like AWS SageMaker, Lambda, S3, or equivalent.

• Practical experience in building CI/CD pipelines with tools such as GitLab.

• Familiarity with containerization technologies like Docker and Kubernetes.

• Experience with ML lifecycle management frameworks such as MLflow, ClearML, or Databricks.

• Proven ability to create reusable model deployment templates, automated validation tools, and scalable inference APIs.

• Knowledge of distributed systems and messaging tools like Apache Kafka and RabbitMQ.

• Proficiency in backend development using Python, C#, C++, Java, and SQL.

• Strong written and verbal communication abilities.

• Capacity to develop and present technical briefings and recommendations.

• Ability to convey technical concepts to varying audience levels.

• Competency in working effectively within Integrated Product Teams (IPT).

• Strong analytical and problem-solving capabilities.

• Ability to collaborate with government, military, and contractor personnel.

• Willingness to travel up to 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 benefits.

• Paid time off.

• Holidays.

• Employer match program.

• Volunteering events.