Computer Vision Engineer

Job Description Role Overview: As a Computer Vision Engineer in a startup environment, you will play a crucial role in developing and implementing cutting-edge computer vision solutions for the company's products and services in Smartcity Domain. You will work closely with a dynamic team of engineers and researchers to innovate and solve complex challenges using computer vision techniques. This role offers a unique opportunity to contribute to various projects, drive technical decisions, and make a significant impact in a fast-paced and innovative startup setting Responsibilities: . Design, develop, and implement computer vision algorithms and models for image and video  analysis, object detection, recognition, and tracking. . Collaborate with cross-functional teams to understand business requirements and translate them  into technical specifications for computer vision solutions. . Conduct research and stay updated with the latest advancements in computer vision and deep  learning to identify opportunities for innovation. . Work with large datasets and use data preprocessing techniques to ensure high-quality training and  testing of computer vision models. . Optimize and fine-tune computer vision models for efficiency, accuracy, and real-time performance. . Perform code reviews and maintain best practices for software development in computer vision. . Collaborate with hardware and software teams to integrate computer vision solutions into products  and services. . Participate in the design and development of data annotation pipelines to support computer vision  tasks. . Conduct experiments and analyze results to evaluate the effectiveness of computer vision algorithms  and models. . Assist in the deployment and testing of computer vision models in real-world scenarios. . Troubleshoot and debug issues related to computer vision algorithms and implementations. . Participate in brainstorming sessions and contribute to the ideation and innovation process. . Work in a collaborative and fast-paced startup environment, contributing to the growth and success  of the company.Education/Experience Requirements: . Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. . Solid understanding of computer vision fundamentals and deep learning techniques. . Proficiency in programming languages such as Python, C++, or Java. . Experience with popular computer vision libraries and frameworks (e.g., OpenCV, TensorFlow,  PyTorch,Keras). . Demonstrated experience in implementing computer vision models for various applications such as  Facial detection, automatic number plate recognition, NLP. . Familiarity with data preprocessing, data augmentation and data annotation processes for computer  vision tasks. . Hands on experience in identifying outlier detection and testing it with different methods . Hands on experience in identifying data imbalance, data compatibility, data privacy, data  normalization, Data encoding issues . Hands on experience in Data reduction techniques, feature selection, wrapper methods, feature  stabilization, labeling accuracy . Hands on experience in Model Selection, model evaluation, Model Training, Model validation and  testing different methods and scenarios . Hands on experience in deploying ML/DL projects using Conda, docker, Kuberntesses . Ability to test AI/ML models in different field conditions . Ability to collect data from field, synthetic data etc basis project requirement . Ability to test AI/ML model with performance optimization and Latency test scenario . Ability handle different error handling scenarios on production enviournment such as out of memory,  resource exhaustion, network failure, data integrity testing . Excellent communication and collaboration skills to work effectively with cross-functional teams. . Prior experience in a startup environment or personal projects in computer vision is a plus
Experience : 3+ yrs to 6 Working from Office

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