Principal Machine Learning Engineer

Join our team as a Principal Machine Learning Engineer, where you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products. You will work closely with the AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production-grade solutions across multi-cloud environments. This role requires a strong focus on building robust, scalable systems and involves applied machine learning, software engineering, and MLOps.

• Design, build, deploy, and scale machine learning and generative AI systems that power real-world products.
• Collaborate with business teams to translate advanced ML and LLM capabilities into reliable, production-grade solutions across multi-cloud environments.
• Implement and maintain MLOps best practices, including CI/CD, model versioning, experiment tracking, and automated retraining.
• PhD with 5+ years, Master’s with 6+ years, or Bachelor’s with 7+ years of experience in Machine Learning, Computer Science, Data Science, or a related field
• Excellent time management, collaboration, and organizational skills
• Solid understanding of software engineering fundamentals, system design, and design patterns
• Experience building and deploying production-grade ML systems
• Strong communication skills with the ability to explain technical concepts and results to both technical and non-technical stakeholders
• Strong proficiency in Python for machine learning and production systems
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)