Senior Deep Learning Engineer - Computer Vision & Embedded Systems

Responsibilities :

- Develop a deep learning-based solution for complex computer vision problems with higher accuracy and performance.

- Create tools and applications by writing clean, efficient code.

- Identify, prioritize, and execute tasks based on requirements.

- Implement hardware architecture-aware and computation-conscious solutions for embedded devices to maximize throughput.

- Perform implementation, review, debugging, product delivery, and quick POC turnarounds.

- Apply cutting-edge machine learning techniques for image classification, object detection, semantic segmentation, sequence modeling, etc., using frameworks such as OpenCV, PyTorch, and TensorFlow.

- Collaborate with the team to brainstorm and create new products.

- Mentor fresh joiners and foster team culture.

Must-Have :

- Educational Qualification : BE/BTech/MS/MTech in Computer Science, Applied Mathematics, Electronics/Electrical Engineering.

- Solid programming experience in C or C++ with proven expertise as a Software Engineer.

- Proficiency in algorithmic optimizations.

- Extensive experience in software development and project management.

- Strong analytical and problem-solving skills.

- Adaptability to execute complex tasks under tight schedules and dynamic conditions.

- Familiarity with various operating systems (Linux, Mac OS, Windows).

- Ability to work independently and manage a team.

- Excellent organizational and leadership skills.

Nice-to-Have :

- Working knowledge of deep learning frameworks such as TensorFlow or PyTorch.

- Experience developing computer vision and/or machine learning algorithms for challenging image understanding problems.

- Knowledge of Python programming.

- Experience managing a team of 10 or more members.

- Experience working in an Agile environment.

- Proficiency in using automated testing frameworks.