Deep Learning & AI

Position: Deep Learning and AI

Responsibilities:

• Develop ML models for vision intelligence: Create machine learning models that can analyze and interpret visual data.
• Improve existing ML layers and modules: Enhance the current machine learning components to improve performance.
• Build data pipelines: Develop systems to collect, process, and store data, requiring backend programming knowledge in Python.
• Build frontend and backend applications: Create web applications needed for deploying deep learning applications.
• Train models using Adversarial networks: Use techniques like GANs (Generative Adversarial Networks) to train models.
• Optimize inferencing software: Improve the software that interprets the trained models to run more efficiently.
• Work on video pipelines and manipulate frames using OpenCV: Handle video processing and manipulation tasks.
• Design Gstreamer pipelines and work with Deepstream: Develop video processing pipelines using Gstreamer and NVIDIA's Deepstream.
• Handle Cloud server programming: Manage cloud-based servers for training and inferencing machine learning models.

Requirements:

• Experience with ML frameworks: Practical experience with machine learning frameworks like TensorFlow, PyTorch, etc.
• C++ programming skills: Strong knowledge of C++ programming, specifically concepts like pointers, maps, vectors, etc.
• Backend/frontend development skills: Candidates with excellent skills in backend/frontend development will be considered even if they have no prior ML/AI experience.

Preferred experience: Candidates with practical experience in deep learning and developing full-stack web applications are preferred.

Skills Required:

OpenCV

Python

Machine Learning

C Programming

C++ Programming

Deep Learning

Gstreamer

MQTT

Kafka