Computer Vision Specialist

Senior Vision Engineer

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

As a key member of the 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.

Roles & ResponsibilitiesDesign and Development

• Coding experience in Python with rapid prototyping skills is required.
• Rapidly produce well-organized, optimized, high-quality source code plus frameworks for the team to use.
• Perform Code, Design & Architecture reviews.
• Translate requirements into architecture using state-of-the-art technologies/open-source frameworks/in-house frameworks with high completeness & accuracy.
• Design & incorporate quality aspects of the architecture/project (Re/Usability, Maintainability, Scalability, Reliability, Extensibility, Security, Portability, etc.)
• Design & incorporate non-functional quality aspects like (Throughput, Robustness, Scalability, Fault-Tolerance, etc.)
• Evaluate, define & evolve/improve software coding standards, tools, and platforms.
• Execute independently at team level all aspects to the Software Engineering Process (requirements, specification, architecture, design, implementation, etc.)
• Debug code independently in large complex source base.

Technology & Architecture

• Improve on architecture & design methodologies in the project.
• Learn new/trending/emerging languages/technologies/open-source frameworks & architectures quickly & apply to the project.
• Ensure high software quality at project level by adapting lean yet effective state-of-the-art practices.
• Contribute to the architecture for more than one domain.
• Inspire team by becoming a role model via exhibiting vigorous crave for excellence.

Mentoring and Technical Leadership

• Enable team to make high-level design/architecture choices & implement them.
• Lead team technically.
• Contribute to Technical & Business Proposals.
• Coordinate with Engineering Managers/Customers/Stakeholders.
• Support recruitment by evaluating architect, designing & coding skills.
• Mentor team members, give directions, empower with right tools/methodologies & make cohesive work environment through Lead by Example.
• Mentor new/small project teams to ramp-up in-addition to current responsibilities.
• Mentor & Coach sizeable associates in the group to scale to trending technologies, state-of-the-art technologies and methodologies.
• Create platform/process for distributed cross location teams to work together smoothly with highest coordination.

Qualifications

Educational qualification: BE/MS/M.Tech (Electronics, Computer Science or related).

Experience:

• 8 - 10 years of work experience.
• Proven track record of developing and implementing innovative algorithms for image and video analysis.
• Experience working in 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).

Mandatory/requires Skills:

• Excellent programming & rapid prototyping skills in Python.
• Exposure to Object Oriented Programming and Design, Data structures / Algorithms is 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 tunning, 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.

Preferred Skills:

• 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.

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