Description :

Starting in the year of 2017 Applore Technologies has become one of the best application and website development companies in the world. It has a team of seasoned professionals or experts, consisting of app developers, software engineers, designers, marketing researchers, and project managers.

We are known for building state-of-the-art and top-notch apps for multiple businesses such as e-commerce, information technology, financial technology, blockchain automation, and many more. Being the preferred choice of users globally, we left no stone unturned.

From a modest beginning of 3 engineers, we have challenged norms, embraced excellence, created a robust delivery model, and with an unwavering focus on our vision we have today evolved to become the preferred Outsourced Product Development (OPD) Partner for ISVs or Software Product Companies globally and preferred IT Partner for end-clients.

Key Responsibilities :

- Design, develop, and deploy computer vision algorithms for real-time applications.

- Implement solutions for image segmentation, object detection, and tracking.

- Build and optimize deep learning models using CNN-based architectures.

- Optimize computer vision pipelines for embedded and edge devices.

- Lead computer vision projects and mentor team members.

- Collaborate with cross-functional teams to integrate vision solutions into products.

- Communicate technical concepts effectively to both technical and non-technical stakeholders.

- Analyze and solve complex vision-related challenges in production environments.

Requirements :

- Proficient in computer vision algorithms and techniques (e. g., image segmentation, object detection, tracking).

- Hands-on experience with computer vision frameworks such as TensorFlow, PyTorch, OpenCV, CUDA, and DeepStream.

- Strong background in deep learning, particularly CNNs, and experience with popular architectures like YOLO, SSD, or Faster R-CNN.

- Experience with optimisation for embedded systems and edge devices (e. g., Raspberry Pi, Jetson, NXP i. MX8M).

Leadership :

- Proven experience in leading computer vision teams and projects.

Collaboration :

- Excellent communication skills to work across teams, explain technical concepts to non-technical stakeholders, and influence decision-making.

Problem Solving :

- Strong analytical skills with the ability to solve complex vision-related challenges in real-time systems.