Senior ML Engineer- Cloud AI Platform

Visa • Austin, TX

1d • Hybrid

About The Position

Ready to make a global impact by industrializing AI? Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications for predictive and generative AI. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you! This role is for a Sr. ML Engineer – Cloud AI Platform, with a strong development background, whose primary objective will be to extend our AI as a Service platform to the Public Cloud, Multi-Cloud, and On-Premises environments while enhancing and optimizing our existing codebase and development procedures, as well as developing new solutions. We are seeking a talented professional with a solid background in public cloud, multi-cloud, on-premises, and AI/ML production systems. This role offers ample opportunities for learning and growth, and the chance to be part of delivering the next big thing for our AI as Services team. If you are passionate about cloud technology, AI, and machine learning, and are excited about making a significant impact, we would love to hear from you. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Requirements

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
• 2 or more years of related experience with AWS, GCP, preferably in an AI/ML production environment.
• Strong development experience in one or more the following programming languages: Rust, Java or C++
• Experience in building large scale distributed high performance system in payments or other domains.

Nice To Haves

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
• 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
• Any experience with Reinforcement Learning is highly preferred.
• Hands-on experience with model inference engines such as TensorFlow Serving, Triton, or other AI accelerators.
• Development experience in Python is a nice to have.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level