Lead AI Engineer

Roles & Responsibilities:

Core Responsibilities:

• Leads the development of the AI platform and ensures the scalability of the platform accommodates a wide spectrum of ML models and integration of new AI advancements as APIs.
• Leads the architectural design, development, and implementation of sophisticated tools and frameworks that elevate ML experimentation and deployment, ensuring that the platform delivers high-end AI functionalities.
• Architects and orchestrates the management of graphics processing unit and central processing unit resources to enhance the performance of AI models while maximizing cost efficiency and resource utilization.
• Mentors and guides junior team members to ensure a seamless integration of AI models into the platform.
• Leads the creation and management of robust data movement strategies and pipelines, optimizing data flows to meet the requirements of intensive AI model training and inference processes.
• Leads initiatives for continuous improvement by evaluating platform performance analytics and gathering user feedback.
• Leads cross-functional teams, fostering a collaborative environment that merges deep technical knowledge with strategic business insights and a keen understanding of user needs.
• Champions the development and enforcement of rigorous security protocols and governance measures for the AI platform, ensuring data integrity and adherence to industry standards and best practices

​Years of Experience:

8 plus

Required Qualifications:
• Bachelor's degree in science, technology, engineering, math, or related field (or equivalent work experience in lieu of degree) and 6 years of experience executing and deploying data science, ML, and DL (fewer years may be accepted with a Master's or Doctorate degree), ML platform engineering, MLOps tools, and ML frameworks
• 6 years of programming experience in Java and/or Python
• 4 years of experience working with cross-functional partners