Guide architectural decisions for mixed (VLM, LLM, DNN) computer vision and multimodal systems.
Drive the implementation of novel ML approaches, engineering best practices, and new technologies.
Lead technical design reviews and architecture discussions.
Establish standards and patterns for model development, evaluation, deployment, and production readiness.
Architect scalable, reliable, and high-performance ML solutions.
Lead the development of complex ML systems and architectures in the field of Intelligent Document Processing (IDP).
Drive optimization of model performance, efficiency, and scalability.
Improve ML development, validation, deployment, and operational processes.
Ensure production readiness, system reliability, and technical excellence across ML initiatives.
Mentor and develop senior and junior machine learning engineers.
Foster a culture of engineering excellence, knowledge sharing, and continuous learning.
Guide technical decision-making and provide feedback through design reviews.
Support the career growth of team members while maintaining high engineering standards.

MS or PhD in Computer Science, Engineering, Mathematics, or a related field.
8+ years of experience in Machine Learning/AI.
Deep expertise in computer vision, deep learning, and multimodal AI (VLMs/LLMs).
Proven track record of leading successful ML projects and delivering production ML systems.
Experience mentoring engineers and driving technical excellence.
Expert knowledge of computer vision, multimodal architectures, and modern ML frameworks.
Deep understanding of ML system design, scalability, and performance optimization.
Strong programming skills in Python.
Proven ability to solve complex technical challenges and architect scalable ML solutions.
Demonstrated ability to mentor and grow engineering teams.

Senior Machine Learning Engineer

Key skills