About the job
About Air Space Intelligence
At Air Space Intelligence, we harness cutting-edge technology to inform and enhance decision-making across critical sectors such as aviation, defense, energy, and other vital infrastructure domains. Supported by esteemed investors like Andreessen Horowitz, Spark Capital, and Renegade Partners, we empower organizations with operational decision superiority, transforming extensive analysis into instantaneous actions. Join us as we redefine the boundaries of what’s achievable.
Your Responsibilities:
As an integral member of our engineering team, you will architect and implement production-grade systems that seamlessly integrate machine learning models into scalable software pipelines. Your work will involve developing and deploying features that utilize machine learning to address real-world optimization and prediction challenges, leveraging modern infrastructure tools such as Kubernetes, AWS, and MLOps frameworks. You will approach challenges with a software engineer's perspective, emphasizing robustness, maintainability, and scalability.
What We Look For:
Expertise in Python and familiarity with production ML tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Hands-on experience with LLMs in production settings, including prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain.
Solid understanding of data structures, algorithms, and best practices in software engineering.
Knowledge of classical ML concepts and deep learning, with a focus on transformer architectures and MLOps.
Proven experience in building and maintaining scalable and reliable production ML systems with sophisticated data pipelines, including proficiency with tools like Apache Beam, MLflow, and others.
Dedication to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.
A preference for simplicity and clarity when tackling complex problems.
Intellectual curiosity paired with a collaborative spirit.
Excellent communication skills for effective collaboration across diverse teams.
What We Offer:
Flexible Working Hours: Our global team supports mission-critical operations; we prioritize work-life balance through flexible scheduling.
Comprehensive Healthcare and Health Insurance: We recognize that health and wellness are essential for a fulfilled and resilient life.
