Computer Vision Engineer

TLDR: We are hiring for a Computer Vision Engineer role ASAP. We need someone skilled in developing Computer Vision algorithms (small object detection and tracking). Familiarity with Deep Learning, CNN, Object Detection, Python, C++ and ML frameworks is required. Work experience in real-world projects involving surveillance systems or related fields would be a plus. Apply at [HIDDEN TEXT]

ABOUT COMPANY

Astr Defence is an award-winning Indian Defence Manufacturer pioneering solutions like Armaments and CUAS for evolving national security challenges.

Our state-of-the-art facilities and cutting-edge technology enable us to develop products that meet the unique challenges faced by our defence forces. We proudly work with India's Elite forces on prestigious projects for the country.

POSITION SUMMARY

Astr Defence is seeking a highly motivated and energetic individual to join our team as a Computer Vision Engineer. The ideal candidate will be responsible for developing and implementing computer vision algorithms for Defence Applications, with a focus on Detection and Tracking. Working closely with our multi-disciplinary team, you will contribute to the development of innovative defence products.

KEY RESPONSIBILITIES

Design and implement advanced computer vision algorithms for Detection and Tracking.

Collaborate with hardware and software teams to seamlessly integrate computer vision solutions.

Own the development and implementation of pipelines for computer vision and machine learning algorithms, ensuring software efficiency.

REQUIREMENTS

Proven work experience in Convolutional Neural Networks, Object Detection, Semantic Segmentation, and Instance Segmentation.

Strong programming skills in Python, C++, and C, with experience in ML Frameworks such as Caffe, Tensorflow, and Pytorch.

Hands-on Experience with traditional image processing techniques (feature engineering) using OpenCV, Pillow

Proficiency in building ML models on various deep learning and machine learning libraries using Pytorch, TensorFlow, Keras, and NumPy.

Hands-on experience in computer vision and machine learning projects, solving real-world problems involving vision tasks.

Proven work experience with edge computing and deploying computer vision models on embedded systems.

Strong understanding of Deep Learning Algorithms in the Computer Vision domain (CNN, RNN, LSTM, etc.).

Work experience in real-world projects involving surveillance systems, security, or related fields would be a plus.

Excellent problem-solving skills and the ability to work independently as well as a part of a collaborative team.

Strong communication skills with the ability to convey complex technical concepts to technical and non-technical stakeholders.

A go-getter attitude with a willingness to learn new technologies.

Full time