Remote Senior Machine Learning Engineer

Summary

The job is for a Senior Machine Learning Engineer at Openmesh, where the employee will develop AI models for blockchain analytics within the Xnode ecosystem, lead cross-functional collaboration, stay updated with advancements in AI and blockchain technologies, and contribute to thought leadership. The role aims to reshape data management and accessibility, collaborate with a global community of innovators, and make a significant impact on how data is accessed and utilized worldwide.

Requirements

• Master's or Ph.D. in Machine Learning, Computer Science, or a related field
• Extensive experience in developing and deploying machine learning models
• Proficiency in programming languages such as Python or TensorFlow
• Proven leadership skills, with experience in guiding high-performing teams towards complex project delivery
• Exceptional communication skills, with the ability to articulate complex technical concepts to diverse audiences

Responsibilities

• Develop and deploy advanced AI models for blockchain analytics within the Xnode ecosystem
• Lead cross-functional collaboration to seamlessly integrate machine learning solutions
• Stay abreast of advancements in AI and blockchain technologies, contributing to Xnode's leadership in the space
• Contribute to the development of state-of-the-art AI models, enhancing blockchain analytics capabilities
• Lead the integration of machine learning solutions, positioning Xnode as a pioneer in AI for blockchain
• Share industry insights and advancements, contributing to the organization's thought leadership

Benefits

• Lead a revolutionary product that is reshaping the landscape of data management and accessibility
• Collaborate with a global community of innovators and thought leaders in the decentralized space
• Make a significant impact on how data is accessed and utilized worldwide, promoting transparency, efficiency, and democratization
• Enjoy a dynamic, challenging, and rewarding work environment, along with competitive compensation and benefits