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About the Role

As a senior level software engineer at Maven Clinic, you will lead the design, development, and maintenance of highly scalable, performant, and reliable AI/ML platform, personalization and recommendation 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 5 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.