About the job
About Air Space Intelligence
At Air Space Intelligence (ASI), we are at the forefront of mission-critical technology that transforms decision-making across the aviation, defense, energy, and critical infrastructure sectors. Supported by leading investors such as Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI empowers organizations to achieve operational decision superiority—reducing days of analysis into mere seconds of actionable insights. Join us as we redefine the limits of possibility.
Your Role:
As a vital member of our engineering team, you will be responsible for designing and deploying robust production-grade systems that seamlessly integrate machine learning models into scalable software pipelines. You will develop and implement features that utilize machine learning to address real-world optimization and prediction challenges, leveraging cutting-edge technologies such as Kubernetes, AWS, and MLOps tools. Your approach will reflect a software engineer's mindset—focusing on reliability, maintainability, and high performance at scale.
Our Core Values:
Expertise in Python, along with experience in production machine learning tools and frameworks like TensorFlow, PyTorch, and scikit-learn.
Hands-on experience with large language models (LLMs) in production settings, encompassing prompt engineering, fine-tuning, retrieval-augmented generation (RAG) systems, and frameworks such as LangChain.
Deep understanding of data structures, algorithms, and software engineering principles.
Familiarity with classical machine learning, deep learning with an emphasis on transformer architectures, and MLOps methodologies.
Experience in building and maintaining scalable, reliable machine learning systems with comprehensive data pipelines, including proficiency with Apache Beam, MLflow, and similar tools.
Dedication to high-quality machine learning engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
A preference for simplicity and clarity when tackling complex challenges.
An inquisitive mind and eagerness to collaborate with others.
Strong communication skills and the ability to work effectively across cross-functional teams.
Our Hiring Philosophy:
We view the interview process not merely as a screening test but as an opportunity to simulate what it will be like to work together. Our hiring process is tailored around you.
