Machine Learning Engineer

• Build and deploy LLM-based solutions that help Clio’s clients save time and improve operational efficiency.
• Collaborate cross-functionally with engineering, product management, operations, and data science to identify and develop new ML-driven features.
• Work agilely alongside MLOps, MLE, and full stack developers on diverse projects spanning multiple engineering teams across three countries.
• Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations.
• Troubleshoot and resolve production issues such as data drift and model latency using observability tools and logs.
• Participate in design reviews and contribute to architectural decisions shaping Clio’s AI platforms.
• Engage in code reviews within your team and across the company, providing and receiving constructive feedback to maintain high standards.
• Continuously learn, challenge yourself, and grow as a machine learning expert while mentoring and collaborating with teammates.

MLOps Engineer

Senior Software Engineer – AI Infrastructure

AI Engineer – Early Career

Artificial Intelligence Engineer – Intern

AI Engineer

Senior Machine Learning Engineer, Vehicle Perception