Senior computer vision and machine learning engineer

Job Summary: We are seeking a highly skilled and motivated Senior Computer Vision and ML-Engineer to join our prestigious Corporate 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: Design and Development Hands on coding experience Rapidly produce well-organized, optimized, high quality and documented source code plus frameworks for the team to ramp-up Perform Code, Design & Architecture reviews. Translate requirements into the architecture using state of art (technologies/open-source frameworks/in-house frameworks) with very high level of completeness & accuracy. Design & incorporate the quality aspects of the architecture/project (Re/Usability, Maintainability, Scalability, Reliability, Extensibility, Security, Portability, etc.) Design & incorporate the non-functional quality aspects like (Throughput, Robustness, Scalability, Fault-Tolerance, etc.) Develop & Implement V& V Strategy for functional & non-functional requirements. 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 Continuously 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 level of software quality at project level by adapting lean yet effective state of art practices. Contribute to the architecture for more than one domain. Inspire team by becoming a role model via exhibiting the vigorous crave for excellence. Mentoring and Technical Leadership Enable the team to make high-level design/architecture choices & implement them. Lead the Team technically. Contribute to the Technical & Business Proposals Coordinate with the Engineering Managers/Customers/Stakeholders Support recruitment by evaluating architect, designing & coding skills. Mentor the team members, give them directions, empower them with right tools/methodologies & make a cohesive work environment through Lead by Example Mentor new/small project teams to ramp-up in-addition to the current responsibilities. Mentor & Coach sizeable associates in the group to scale to trending technologies, state of 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 a research environment. Experience with deep learning frameworks such as Tensor Flow and Py Torch. Experience with image processing libraries such as Open CV. 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 a must. Expertise on Open CV, 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 - Tensor Flow, 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, Open CL), 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 the 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.