Defense ML Engineer for Scalable Systems

Air space Intelligence, Inc.; Boston (MA); On-site; USD 150,000 - 200,000; Full time

Job summary

Air space Intelligence, Inc. is seeking a Defense ML Engineer to design and deploy production-grade systems that integrate ML models into scalable software pipelines. You will ship features using ML to solve optimization and prediction problems, leveraging modern infrastructure like Kubernetes, AWS, and MLOps tooling.

You will work with Python, ML frameworks, and LangChain in a collaborative, fast-paced environment, prioritizing robustness, maintainability, and performance at scale.

Qualifications

• Experience deploying production ML systems with robust data pipelines.
• Strong knowledge of Python and ML tooling/frameworks.
• Experience using LLMs in production, including prompt engineering and RAG.
• Solid understanding of data structures and algorithms.

Responsibilities

• Design and deploy production-grade systems integrating ML models into scalable pipelines.
• Develop features leveraging ML to optimize real-world problems.
• Work with Kubernetes, AWS, and MLOps tooling to build reliable systems.

Skills

Python

ML tooling

LLMs in prod

Data structures

Transformers

MLOps concepts

Testing pipelines

Tools

Kubernetes

AWS

MLflow

Apache Beam

LangChain

Job description

Air space Intelligence, Inc. is seeking a Defense ML Engineer to design and deploy production-grade systems that integrate ML models into scalable software pipelines. You will ship features using ML to solve optimization and prediction problems, leveraging modern infrastructure like Kubernetes, AWS, and MLOps tooling.

You will work with Python, ML frameworks, and LangChain in a collaborative, fast-paced environment, prioritizing robustness, maintainability, and performance at scale.