This role is responsible for leveraging expertise to design, develop, and implement cutting-edge deep learning models that solve complex challenges and enhance product proposition. The role collaborates with cross-functional teams, to transform data into actionable insights by selecting, training, and optimizing state of the art deep learning algorithms. The role ensures that DL models are properly trained, validated, and optimized for performance.
Responsibilities
Developing Embedded AI Solutions on Qualcomm SOCs
Knowledge of Deep Learning, Computer Vision, NLP
Background in developing models ground up using curated data from the respective domains.
Build solutions for Device User Experience differentiation utilizing various sensors (Audio, Camera, ...) for ambient Intelligence & Proximity Detection
In Depth knowledge of Gemini and Open Source Models to build On Device / Hybrid AI solutions
Hands-on experience on using Python and various AI Frameworks to build such embedded solutions.
Education & Experience Recommended
BTech / MTech with Computer Science, Data Science, Electronics Engineering with demonstrated competence.
Typically has 3-6 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
