AI Principal Machine Learning Engineer

📋 Description

• Act as a technical thought leader, shaping innovative machine learning strategies and product
• Design, develop, and launch strategic machine learning and generative AI capabilities that support
• Lead the complete software development lifecycle, including architecture, design, coding, testing
• Drive technical discussions, establish engineering direction, and participate directly in design
• Architect and build high-performance, scalable microservices, including synchronous and
• Develop real-time online inference solutions for complex machine learning models using technologies

🎯 Requirements

• A degree in Mathematics, Computer Science, or a related technical discipline.
• Between 5 and 10 years of experience across the full software development lifecycle, including
• Between 5 and 10 years of hands-on Python experience, including advanced language features
• Strong expertise in designing RESTful APIs, with practical experience using frameworks such as
• Proficiency in Docker, Kubernetes, and modern CI/CD practices.
• At least 3 years of experience leading the design and architecture of large-scale distributed

🎁 Benefits

• Annual salary range of $170,000–$240,000 USD, depending on qualifications, experience, and
• Additional benefits package.
• Opportunity to work with highly skilled engineers on advanced AI and machine learning technologies.
• Exposure to innovative projects involving generative AI, intelligent agents, distributed systems
• Opportunities to provide technical leadership, mentor engineers, and influence product and platform
• Inclusive and collaborative working environment that values diverse perspectives and encourages