Leading AI initiatives from concept to enterprise adoption, the full-time remote Principal Machine Learning Engineer will engage with business leaders to identify AI opportunities, architect and build proof of concepts, and establish scalable solutions while guiding cross-functional teams and ensuring compliance with engineering best practices.
Key responsibilities
Engage with business leaders to define AI opportunities and desired outcomes Lead cross-functional teams in developing AI initiatives from proof of concept to enterprise adoption Architect and implement AI solutions, ensuring data readiness and compliance with security standards Required qualifications Doctorate degree with 2 years, Master's degree with 6 years, Bachelor's degree with 8 years, Associate's degree with 10 years, or High school diploma/GED with 12 years of Machine Learning Engineer experience Substantial experience in machine learning and software engineering with a focus on applications beyond prototypes Proficiency in Python and experience in developing APIs and application back ends Hands-on experience with cloud platforms such as AWS and DevOps practices Demonstrated technical leadership and experience in guiding teams and projects
Experience: 10 years required