Machine Learning Engineer
Company: Air Space Intelligence
Location: Boston
Posted on: April 1, 2026
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Job Description:
About Air Space Intelligence ASI's mission-critical technology
powers decision-making across aviation, defense, energy, and other
critical infrastructure domains. Backed by top-tier investors
including Andreessen Horowitz, Spark Capital, and Renegade
Partners, ASI delivers operational decision superiority—compressing
days of analysis into seconds of action. ASI is leading the way and
pushing the boundaries of what’s possible. What you will do: As
part of our core engineering team, you will design and deploy
production-grade systems that integrate machine learning models
into scalable software pipelines. You’ll develop and ship features
that leverage ML to solve real-world optimization and prediction
problems, working with modern infrastructure like Kubernetes, AWS,
and MLOps tooling. You’ll approach problems with a software
engineer’s mindset—prioritizing robustness, maintainability, and
performance at scale. What we value: 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. How do we hire: We look at the interview
process not as screening test but rather as an opportunity to
simulate what it would look like working together. We build the
interview process around you.
Keywords: Air Space Intelligence, Manchester , Machine Learning Engineer, IT / Software / Systems , Boston, New Hampshire
