Cloud Machine Learning Evangelist (Ai)

TL;DR

Cloud Machine Learning Evangelist (AI): Educating the ML community on accelerating training and inference workloads on cloud platforms with an accent on strategic partner collaborations and product extensions. Focus on publishing technical blog posts, building demos, and engaging with technical audiences.

Location: Remote (US)

Company

hirify.global is building the fastest growing platform for AI builders, democratizing good AI with a large community of users and open-source libraries.

What you will do

• Increase the impact of the ML Cloud team by educating the community on accelerating training and inference workloads.
• Publish technical blog posts and contribute documentation and code examples.
• Speak at partner conferences and produce webinars for business and technical audiences.
• Build and evangelize demos for using hirify.global models on various compute platforms.
• Lead Go-To-Market conversations with strategic partners including AWS, GCP, Azure, NVIDIA, AMD, Intel, Gaudi, Inferentia, and TPU.

Requirements

• Strong passion for ML Engineering, building practical AI applications, and putting them into production.
• Ability to accelerate ML workloads using cloud capabilities.
• Excellent communication and education skills, comfortable with public speaking to technical audiences.
• Engage positively with the ML community, with existing engagement on social platforms expected.
• Based in the United States.

Nice to have

• Experience in Open Source development.

Culture & Benefits

• Actively building a culture that values diversity, equity, and inclusivity.
• Emphasis on continuous growth and impact, with reimbursement for relevant conferences, training, and education.
• Flexible working hours and remote options, with office spaces in NYC and Paris available for visits.
• Health, dental, and vision benefits for employees and dependents, plus parental leave and flexible paid time off.
• Company equity as part of the compensation package for all employees.
• Supports the ML/AI community through collaboration across the field.