About the job
Why Join Faculty?
Founded in 2014, Faculty has been at the forefront of artificial intelligence, believing it to be the defining technology of our era. With over 350 global clients, we have successfully transformed their performance through human-centric AI solutions. Discover our real-world impact here.
We are not driven by trends. Instead, we focus on innovating and deploying responsible AI that delivers measurable results. Our expertise spans technical, product, and delivery domains, serving clients across sectors including government, finance, retail, energy, life sciences, and defense.
As our business and reputation continue to grow rapidly, we seek individuals who are intellectually curious and eager to leave a meaningful legacy through technology.
Join us in harnessing the potential of AI to revolutionize its applications and bring them to life.
About Our Team
The Faculty Life Sciences team is dedicated to revolutionizing healthcare by building AI solutions that streamline the research and commercialization of impactful therapies. We collaborate with major pharmaceutical companies, academic research institutions, and MedTech start-ups to tackle significant healthcare challenges and promote equitable health access.
Your Role
As a Machine Learning Engineer, you will create custom, impactful AI solutions for our diverse clientele, playing a crucial role in transitioning machine learning from theoretical models to practical applications. You will contribute to scalable software architecture and establish best practices, ensuring technical feasibility and timely delivery of high-quality, production-grade ML systems in collaboration with clients and cross-functional teams.
Key Responsibilities:
Develop and deploy production-grade ML software, tools, and infrastructure.
Design reusable, scalable solutions that expedite the delivery of ML systems.
Work closely with engineers, data scientists, and commercial teams to address critical challenges faced by clients.
Continually refine and improve processes to enhance project outcomes.

