Lead Machine Learning Engineer
Faculty(2 months ago)
About this role
The Lead Machine Learning Engineer at Faculty will spearhead the technical direction and delivery of complex AI projects, guiding teams through high-risk environments while ensuring the development of reliable and scalable machine learning systems. This role requires expertise in Python, familiarity with frameworks like Scikit-learn, TensorFlow, or PyTorch, and hands-on experience with cloud solutions and containerization tools such as Docker and Kubernetes. The position involves mentoring engineers, driving innovation within the organization, and acting as a technical expert for clients to ensure successful project outcomes.
Required Skills
- Lead ML Projects
- Technical Direction
- Scalable Systems
- Architectural Decisions
- Project Roadmaps
- Team Mentoring
- Technology Adoption
- Customer Coaching
- Python Expertise
- ML Frameworks
+8 more
About Faculty
faculty.aiFaculty is a leading artificial intelligence company focused on enhancing organizational performance through innovative AI solutions. They partner with businesses across various sectors, including healthcare, finance, and defense, to implement AI strategies that drive significant real-world impact. Their services span AI development, training, and ethical practices, ensuring that companies effectively harness the power of AI while addressing safety and governance concerns. Faculty is recognized for its expertise and contributions in pushing AI solutions forward, aiming to create transformative change in the industries they serve.
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