Senior Computer Vision Engineer

We are seeking a highly skilled and motivated Senior Computer Vision and Machine Learning Engineer to join our prestigious research team.

As a key member of our team, you will be responsible for researching, developing, and implementing innovative computer vision and machine learning algorithms to solve challenging real-world problems.

You will collaborate with a team of world-class researchers and engineers, pushing the boundaries of what's possible in areas such as autonomous systems, advanced manufacturing.

This is an exceptional opportunity to contribute to impactful research and translate cutting-edge technology into tangible solutions.

Roles & Responsibilities:

• Coding experience with a focus on producing well-organized, optimized, high-quality source code and frameworks for the team to ramp-up.
• Perform code, design, and architecture reviews.
• Translate requirements into architecture using state-of-the-art technologies, open-source frameworks, or in-house frameworks with high completeness and accuracy.
• Design and incorporate quality aspects of architecture/project (reusability, maintainability, scalability, reliability, extensibility, security, portability).
• Develop and implement verification and validation strategy for functional and non-functional requirements.
• Evaluate, define, and evolve/improve software coding standards, tools, and platforms.
• Execute independently at team level all aspects of the Software Engineering Process (requirements, specification, architecture, design, implementation, etc.).
• Debug code independently in large and complex source bases.

Educational Qualification:

BE/MS/M.Tech in Electronics, Computer Science, or related fields.

Experience:

• 8-10 years of work experience.
• Proven track record of developing and implementing innovative algorithms for image and video analysis.
• Experience working in a research environment.
• Experience with deep learning frameworks such as TensorFlow and PyTorch.
• Experience with image processing libraries such as OpenCV.
• Experience with cloud platforms (AWS, Azure, GCP).

• Excellent programming and rapid prototyping skills in Python.
• Exposure to Object-Oriented Programming and Design, Data structures / Algorithms is a must.
• Expertise on OpenCV, DLib, Numpy.
• Excellent knowledge on any/all of the given concepts in Computer Vision - namely Image Classification, Object Detection, and Semantic Segmentation developed using state-of-the-art deep learning algorithms.
• Hands-on experience in developing efficient and real-time convolution neural network models.
• Awareness of Machine Learning concepts, hyperparameters tuning, metrics, and training methods, and able to make benchmarks with other SOTA models.
• Hands-on working experience with anyone of the deep learning frameworks - TensorFlow, Caffe, Pytorch, Keras, MXNet, Theano.
• Experience on Foundation Models especially with EVA & DINO a big plus. Well-conversed with MLOps concepts (Hands-on experience with mlflow a big plus)
• Exposure to model compression and pruning in deep learning.

• Familiarity with GPU computing (CUDA, OpenCL), HPC, and should have hands-on experience in local GPU-Linux servers or cloud machine learning service providers like AWS, Azure, etc.
• Strong Problem-Solving & Communication skills.
• Highly Motivated, Creative, and a Team player.
• Responsible on taking ownership of modules/projects as well as contributing/collaborating the team with individual contributions.
• Experience/exposure to usage of Open-Source technologies, State of Art models, and understanding of famous model backbones.
• Knowledge on containerizing the CV applications as Docker or Pod and REST API services for DL inference modules.
• Experience of CV solution deployment on Edge (NVIDIA, etc.) would be big plus.