Defense ML Engineer: Build Scalable AI Pipelines

Air Space Intelligence; Boston (MA); Presencial; USD 100.000 - 130.000; Jornada completa

Descripción de la vacante

Air Space Intelligence is seeking a talented engineer to join their core team in Boston. The role involves designing and deploying production-grade systems that integrate machine learning models into scalable pipelines. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch. A strong understanding of data structures and algorithms along with a collaborative mindset is essential. This position offers an opportunity to impact critical operations with modern technology.

Formación

• Proficiency in Python and experience with production ML tooling.
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Familiarity with classical ML, deep learning, and MLOps concepts.

Responsabilidades

• Design and deploy production-grade systems integrating machine learning models into scalable software pipelines.
• Develop and ship features leveraging ML to solve real-world optimization and prediction problems.
• Ensure robustness, maintainability, and performance at scale.

Conocimientos

Proficiency in Python

Experience with production ML tooling

Strong understanding of data structures and algorithms

Familiarity with classical ML and deep learning

Experience in building reliable systems

Clear communication skills

Herramientas

TensorFlow

PyTorch

Kubernetes

AWS

Descripción del empleo

Air Space Intelligence is seeking a talented engineer to join their core team in Boston. The role involves designing and deploying production-grade systems that integrate machine learning models into scalable pipelines. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch. A strong understanding of data structures and algorithms along with a collaborative mindset is essential. This position offers an opportunity to impact critical operations with modern technology.