JOB DUTIES AND RESPONSIBILITIES

• Design, develop, and maintain deep learning pipelines for real-time data processing.
• Evaluate and curate relevant datasets; establish model benchmarks to measure performance.
• Improve observability and monitoring for deployed ML systems.
• Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.
• Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines.
• Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications.
• Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems.

JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS

• Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
• 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations).
• Proficiency in Python with demonstrated experience implementing ML algorithms in production environments.
• Experience designing and maintaining APIs for ML services.
• Hands-on experience deploying and managing ML workflows in Kubernetes environments.
• Strong communication skills with the ability to clearly articulate complex technical ideas.
• Ability to work effectively in a collaborative, Agile engineering team.

PREFERRED EXPERIENCE

• Knowledge of microservice architectures and distributed data systems.
• Familiarity with aerospace or defense applications of ML systems.
• Track record of contributing to early-stage or rapidly scaling teams.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.