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Air Space Intelligence · 3 hours ago

MACHINE LEARNING ENGINEER

Boston, MA

Full-time

Onsite

Mid Level

Air Space Intelligence is a technology company focused on decision-making across aviation, defense, and energy sectors. They are seeking a Machine Learning Engineer to design and deploy production-grade systems that integrate ML models into scalable software pipelines, emphasizing robustness and performance at scale.

AerospaceSoftware

Responsibilities

Design and deploy production-grade systems that integrate machine learning models into scalable software pipelines

Develop and ship features that leverage ML to solve real-world optimization and prediction problems

Approach problems with a software engineer’s mindset—prioritizing robustness, maintainability, and performance at scale

Qualification

PythonProduction ML toolingLLMs in productionData structuresAlgorithmsMLOps conceptsScalable ML systemsApache BeamMLflowExperiment trackingClear communicationCollaboration

Required

Proficiency in Python and experience with production ML tooling and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Experience using LLMs in production environments — covering prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain

Strong understanding of data structures, algorithms, and software engineering best practices

Familiarity with classical ML, deep learning with emphasis on transformer architectures, and MLOps concepts

Experience building and maintaining scalable, reliable production ML systems with robust data pipelines, including expertise with Apache Beam, MLflow, and similar production-grade tools

Commitment to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines

A bias for simplicity and clarity in solving complex problems

Intellectual curiosity and willingness to collaborate

Clear communication and collaboration across cross-functional teams