Senior Machine Learning Engineer

🔥 13 hours ago

🏈 Alabama, Massachusetts – Remote

🏈 Alabama – Remote 🍂 Massachusetts – Remote

💵 $165k - $195k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Odyssey

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🎖️ Defense

🏥 Healthcare

📦 Logistics

Defense • Healthcare • Logistics

Odyssey is a leading provider of outstanding management, analytical, and technical support services to both the government and private sectors. Established in 1997, Odyssey has built a long-standing reputation for delivering innovative solutions across varied disciplines including software, engineering, cyber, and scientific research. The company's diverse team is dedicated to solving complex challenges with a lasting impact at home and around the world.

📋 Description

• 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