AI Engineer

AI Engineer

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or related fields.
• At least 3 years of experience as a software engineer or machine learning engineer.
• Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products.
• An obsession with thorough AI/ML evaluation to create reliable applications.
• Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas).
• Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD).
• Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP).
• Strong communication and collaboration skills.

Responsibilities

• Hit the ground running and take ownership of strategic accounts with iconic customers.
• Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner. This includes model vetting, pilot development, and production implementation.
• Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.
• Contribute to the development of Distyl’s internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.
• Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results.
• Stay up-to-date with AI and ML trends, and leverage your practical experience with Large Language Models (especially OpenAI’s) to responsibly evaluate their trade-offs and bring innovative solutions to our customers.
• Continuously improve solution design and implementation processes, incorporating feedback and lessons learned from previous projects.

Preferred Qualifications

No preferred qualifications provided.