About the job
Why Join Faculty?
Founded in 2014, Faculty believes that artificial intelligence is the defining technology of our era. Since our inception, we have partnered with over 350 clients worldwide, helping them enhance their performance through human-centric AI solutions. Discover our impact here.
We are not swayed by fleeting trends; we focus on developing and implementing responsible AI that truly makes a difference. Our expertise spans technical, product, and delivery domains, servicing clients across various sectors including government, finance, retail, energy, life sciences, and defense.
As our business continues to grow rapidly, we seek intellectually curious individuals who are passionate about making a positive impact through technology.
Join us in harnessing the power of AI and envisioning its most transformative applications.
About Our Team
In our Professional and Financial Services Business unit, we leverage over a decade of Applied AI experience to assist our clients in navigating an ever-evolving landscape. We create and integrate AI solutions that enhance operational efficiency, improve customer experiences, and unlock commercial opportunities in uncertain markets. Within the boundaries of highly regulated industries, we see vast potential for significant innovation and are proud to set the benchmark for combining technical excellence with secure deployment.
Role Overview
As a Senior Machine Learning Engineer, you will spearhead the development and deployment of advanced AI systems for our diverse clientele. Your responsibilities will include designing, building, and implementing scalable, production-ready ML software and infrastructure that adheres to stringent operational and ethical standards.
This is a dynamic, cross-functional role that demands a mix of technical prowess, engineering leadership, and strong client engagement skills.
Key Responsibilities:
- Overseeing technical scoping and architectural decisions for impactful ML systems.
- Crafting and developing production-ready ML software and infrastructure.

