Lead and mentor others in driving positive outcomes to technical, business, and personnel problems based through the application of problem-solving and process improvement methodologies
Execute a robust talent offense by attracting, developing, retaining, and engaging top talent while driving personal/professional growth of individuals, the team and delivering high quality results with passion, energy and drive
Lead, mentor, formulate and work with the team to design, implement, evaluate, and optimize CV/DL/AI deployments as an integral part of AI-powered medical technologies
Foster a culture of innovation, continuous learning, and collaboration within the team
Create concise design documents and lead the team in making informed tradeoffs between model performance, latency, resource usage (memory/cpu/storage/IO), system architecture decisions
Promote a privacy and security first approach to software development and promote best practices in data management, data architecture, and data governance across teams and portfolio projects
Responsible for budget creation and contributing to higher-level R&D budget at business unit level, projections, and tracking activities
What you need:
Required:
Educational Requirement of bachelor’s degree in computer science, Machine Learning, Electrical Engineering, Mathematics, Statistics, Bioengineering or related field
12+ years of work experience required with team leading experience of 5-12 members
A minimum of 4 years of experience in computer vision and deep learning / machine learning development, with at least 2 years in a managerial or leadership role
Strong knowledge of deep learning, computer vision, machine learning, and working with edge-based / embedded computer vision applications
Experience of working in projects with C++ and Python
Experience optimizing inference pipelines on edge devices
Experience working with libraries such as OpenCV, DLib, Tensorflow, TFlite, TensorRT, TorchScript, Boost C++ libraries for numerical computation, etc
Strong problem-solving, analytical, and critical thinking skills
Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders
Preferred:
Experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.
Proven track record of managing and delivering large-scale computer vision projects on time and within budget
Familiarity with CV/ML frameworks such as PyTorch, OpenCV, PCL, TensorFlow, scikit-learn etc.
