Deep Learning Engineer

Job Description

We are seeking a highly skilled and passionate Deep Learning Engineer with a strong foundation in Python frameworks, deep learning algorithms, and computer vision applications. This role requires hands-on expertise in developing and deploying AI models for real-world video and image processing tasks.

The ideal candidate will have prior experience working on camera-based surveillance systems and real-time video processing, including platforms such as YouTube streams. The role will involve building and fine-tuning deep learning models to recognize patterns, detect anomalies, and extract insights from video data, helping clients enhance operational safety, efficiency, and intelligence.

Additionally, experience or interest in patent research is valuable, as the role may involve contributing to innovation and novel solution development. Candidates with a strong academic background in Mathematics, Computer Science, or a related field, combined with demonstrable coding experience, are preferred.

Key Responsibilities:

Develop and deploy computer vision and deep learning models using Python frameworks such as TensorFlow, PyTorch, or OpenCV.

Work on live-stream video feeds to detect and track objects in real time.

Collaborate with cross-functional teams to understand client requirements and translate them into AI-driven solutions.

Conduct research, including patent landscape reviews, to stay ahead in AI innovation.

Travel to client locations for solution deployment, testing, and support as needed.

If you are passionate about AI, enjoy problem-solving, and are excited to work on impactful real-world applications in the field of computer vision, we would love to hear from you