Principal Machine Learning Architect

Summary

Join a fast-growing and entrepreneurial company as an Architectural Leadership role, leading the architecture and design of our MLOps platform, developing solutions for Responsible AI, and collaborating with AI/ML experts.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, (or a related field is preferred)
• 10+ years of experience in the technology or data field
• Proficient engineering and coding skills in Python and other languages
• Strong background in AI/ML or Data Sciences technologies and platform development
• Great multi-disciplinary knowledge of technology space (data, cloud, UI, security)
• Excellent communication, leadership, and project management skills

Responsibilities

• Lead the architecture and design of our MLOps platform, with a focus on GCP Vertex AI and Kubeflow related platforms
• Develop solutions focused on Responsible AI, including explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices
• Drive enhancements to the MLOps platform to optimize developer experiences for data and ML engineers, incorporating streamlined workflows and advanced tools
• Collaborate with AI/ML experts across domains such as Computer Vision, NLP, Forecasting, LLMs, and synthetic data. Integrate the latest advancements into the MLOps platform
• Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform