Job Description
Job Description
• Understand Software/System components and associated specifications.
• Ability to modify the architecture to enhance accuracy using different techniques like hyper parameter tuning, changing validation and test strategy, choosing right loss and activation functions.
• Decent understanding of CNN based popular models like ResNet, BERT, VGG16 etc.
• Apply statistical techniques for data analysis.
• Optimization of neural architecture for production deployment.
Skills Required
Technical Skills :
• Good knowledge of Maths and Statistics particularly in the areas of calculus, linear algebra, and Bayesian statistics.
• Working knowledge of CNN based architecture on imaging or video applications.
• Good understanding of programming languages like Python, C/C++.
• Good understanding of Tensorflow/Keras APIs.
• Good understanding of OpenCV library.
• Good understanding of various optimization techniques for production deployment.
• Demonstratable track record of delivering on production environment.
• Image processing/audio signal processing exposure is a plus.
• Hands-on knowledge of using GPUs for tensorflow for speeding up inference.
Soft Skills
• Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
• Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement.
• Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members.
• Team player.
Qualification
• Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from reputed institution
• Consistently good academic record having minimum 70% throughout (10th std onwards)
Location : Noida
(ref:hirist.tech)
• Understand Software/System components and associated specifications.
• Ability to modify the architecture to enhance accuracy using different techniques like hyper parameter tuning, changing validation and test strategy, choosing right loss and activation functions.
• Decent understanding of CNN based popular models like ResNet, BERT, VGG16 etc.
• Apply statistical techniques for data analysis.
• Optimization of neural architecture for production deployment.
Skills Required
Technical Skills :
• Good knowledge of Maths and Statistics particularly in the areas of calculus, linear algebra, and Bayesian statistics.
• Working knowledge of CNN based architecture on imaging or video applications.
• Good understanding of programming languages like Python, C/C++.
• Good understanding of Tensorflow/Keras APIs.
• Good understanding of OpenCV library.
• Good understanding of various optimization techniques for production deployment.
• Demonstratable track record of delivering on production environment.
• Image processing/audio signal processing exposure is a plus.
• Hands-on knowledge of using GPUs for tensorflow for speeding up inference.
Soft Skills
• Strong analytical and problem-solving abilities, with quick adaptation to new technologies, methodologies, and systems.
• Self-starter, having positive attitude, ability to proactively identify issues and/or opportunities for improvement.
• Mature, ability to understand business perspective of requirements and interpersonal relationships when interacting with non-team members.
• Team player.
Qualification
• Graduate/Post-Graduate in Computer Science/Maths/Stats/Physics from reputed institution
• Consistently good academic record having minimum 70% throughout (10th std onwards)
Location : Noida
(ref:hirist.tech)
💡 Quick Summary
Seeking a career-building opportunity? The Venera Technologies | Senior Software Engineer | R|CNN|OpenCV position is now open for candidates interested in the Software Developer Jobs sector. This role in Noida offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
