Computer Vision Technical Lead

8 - 12 years

0 Lacs

Posted:3 weeks ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Technical Lead (CV/AI) at Master Works in Hyderabad, you will play a crucial role in leading the development of cutting-edge computer vision solutions. Your responsibilities will include: - **Lead Development Efforts:** Oversee and guide the development of computer vision solutions, ensuring high-quality, robust, and scalable algorithms and models. - **Architect Solutions:** Design and architect complex systems involving real-world computer vision problems, integrating various technologies and platforms. - **Team Coordination:** Collaborate with other researchers, engineers, and stakeholders to coordinate project activities, manage timelines, and ensure project milestones are met. - **Technical Leadership:** Provide technical guidance and mentorship to team members, fostering an environment of continuous learning and improvement. - **Algorithm Development:** Lead the creation of industry-grade algorithms using OpenCV, Python, and deep learning frameworks. - **Model Training and Evaluation:** Oversee the training, evaluation, and fine-tuning of state-of-the-art deep learning models for tasks such as segmentation, object detection, classification, object tracking, visual style transfer, and generative adversarial networks. - **Integration and Deployment:** Supervise the integration of models with various in-house and external microservices, ensuring seamless operation and deployment using technologies like Kubernetes, Docker, and containerization. - **Research and Innovation:** Drive research into emerging technologies, developing proof of concepts (POCs) and evaluating their potential impact on existing and future projects. - **Project Planning and Management:** Define the scope of work for computer vision research projects, including setting clear research objectives and outcomes. - **Technical Documentation:** Prepare and maintain comprehensive technical documentation for algorithms, models, and deployment processes. - **Collaboration and Communication:** Engage with cross-functional teams, including product managers and business stakeholders, to align on project goals and deliverables. **Requirements:** - Proven experience in leading technical teams, managing projects, and driving complex development efforts. - Proficiency in C++ for implementing high-performance algorithms. - Expertise in Python for algorithm development and model training. - In-depth knowledge and experience in object detection techniques and frameworks. - Strong background in computer vision principles, algorithms, and techniques. - Advanced skills in image processing methods and their application in real-world scenarios. - Proficiency in deep learning technologies and frameworks such as Keras, TensorFlow, and PyTorch. - Broad understanding of artificial intelligence, machine learning, and pattern recognition techniques. - Experience with data science principles and practices, including data manipulation and analysis. - Familiarity with generative adversarial networks (GANs) and other generative models. - Experience with deployment technologies and practices, including Kubernetes, Docker, and model compression techniques. In your role as a Technical Lead at Master Works, you will have the opportunity to work on cutting-edge projects in the field of computer vision and artificial intelligence, collaborating with a talented team of researchers and engineers to drive innovation and deliver impactful solutions. As a Technical Lead (CV/AI) at Master Works in Hyderabad, you will play a crucial role in leading the development of cutting-edge computer vision solutions. Your responsibilities will include: - **Lead Development Efforts:** Oversee and guide the development of computer vision solutions, ensuring high-quality, robust, and scalable algorithms and models. - **Architect Solutions:** Design and architect complex systems involving real-world computer vision problems, integrating various technologies and platforms. - **Team Coordination:** Collaborate with other researchers, engineers, and stakeholders to coordinate project activities, manage timelines, and ensure project milestones are met. - **Technical Leadership:** Provide technical guidance and mentorship to team members, fostering an environment of continuous learning and improvement. - **Algorithm Development:** Lead the creation of industry-grade algorithms using OpenCV, Python, and deep learning frameworks. - **Model Training and Evaluation:** Oversee the training, evaluation, and fine-tuning of state-of-the-art deep learning models for tasks such as segmentation, object detection, classification, object tracking, visual style transfer, and generative adversarial networks. - **Integration and Deployment:** Supervise the integration of models with various in-house and external microservices, ensuring seamless operation and deployment using technologies like Kubernetes, Docker, and containerization. - **Research and Innovation:** Drive research into emerging technologies,

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