Senior Engineer

Experience & Education Qualifications:

• A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or akin disciplines.
• A minimum of 10 years of hands-on experience in sculpting and deploying ML, CV, sensor fusion, and deep learning constructs.
• Adeptness and experienced in programming with Python, C++, or Matlab, and fluency with deep learning frameworks like TensorFlow, Keras, or PyTorch.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
• Proficiency in optimization techniques, both for model training and real-time performance.
• Ability to design, conduct, and analyze A/B tests and other experimentation methodologies.
• Familiarity with advanced ML platforms and tools like NVIDIA DeepStream, MLflow, or Kubeflow.
• Deep understanding of edge computing and experience deploying AI/ML solutions on edge devices.
• Knowledge of cybersecurity best practices, especially related to AI and data protection.
• An analytical mind coupled with impeccable problem-solving prowess, adaptable to a dynamic work rhythm.
• Stellar communication faculties with a penchant for teamwork and collaboration.
• Demonstrable experience in materializing predictive models into tangible business applications.