Staff Software Engineer, AI/ML

About the Role

As a staff level software engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our AI/ML Platform, personalization and recommendation systems. You will lead the design, development, and maintenance of highly scalable, performant, and reliable systems that support the growing opportunities in our systems. You will work closely with cross-functional teams to ensure the delivery of high-quality products and features that meet the needs of our customers and adhere to Maven's quality standards.

Key Responsibilities

• Lead the design, development, and maintenance of ML/AI related platforms and products.
• Propose, design, develop and implement cloud-based solutions that ensure the agility, flexibility, and scalability of our systems.
• Drive technical design discussions and provide guidance to team members on best practices, coding standards, and architecture principles.
• Collaborate with and lead cross-functional teams to drive the development of new features and products, ensuring they meet the needs of our customers and adhere to Maven's quality standards.
• Mentor and guide mid-level engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.
• Identify and evaluate emerging technologies, tools, and trends that can drive ML/AI innovation and improve the efficiency and effectiveness of our engineering processes.

Qualifications

• Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
• Minimum of 8 years of experience in backend development, platform architecture and ML/AI platform or products, with a proven track record of building highly scalable, performant, and reliable systems with modem technologies.
• Experience designing and implementing data intensive applications, end-to-end ML/AI products or features. Perform data processing, feature engineering, and model evaluation to ensure high-quality and accurate results. Deploy and maintain machine learning models in cloud platforms ensuring scalability and reliability.
• Experience designing and implementing ML/AI framework and infrastructure by utilizing modern toolsets and ensuring efficiency. 
• Experience designing and implementing distributed systems including microservices architecture, containerization, and orchestration.
• Proficiency in multiple programming languages (Python, Go, Java, etc.) 
• Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.
• Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code and model in a fast-paced environment.
• Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional teams and mentor engineers.
• Conduct research and stay up-to-date with the latest advancements in some ML/AI domain to ensure our solutions are cutting-edge.