Machine Learning Engineer

About the Company

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.

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
• Work with modern infrastructure including Kubernetes, AWS, and MLOps tooling
• Prioritize robustness, maintainability, and performance at scale using a software engineer's mindset

Requirements

• Proficiency in Python
• Experience with production ML tooling and frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience using LLMs in production environments including prompt engineering, fine-tuning, RAG systems, and LangChain
• Strong understanding of data structures, algorithms, and software engineering best practices
• Familiarity with classical ML, deep learning, transformer architectures, and MLOps concepts
• Experience building scalable production ML systems and data pipelines using tools like Apache Beam or MLflow
• Commitment to high-quality ML engineering practices including data versioning and automated testing