Computer Vision Engineer

5 days ago

Chennai, India Factana® - Industrial Software Provider Full time
Factana is a leading Industry 4.0 Solution and Industrial Cloud Provider with offices in Bengaluru, Chennai and Chicago. We are in the mission of simplifying Industrial Asset Operations using IoT and AI based solution for enterprises. Fogwing is our Industrial Platform with users from 100+ countries across the world, delivering IoT Solutions and Manufacturing Operations Applications. We are continuously investing in innovation and product development and delivery to become leader in this space.
We are looking for highly energetic individual to join as Computer Vision Engineer to be part of our engineering team to support AI on edge, computer vision model and configuration for customers. This role will provide opportunity to learn and gain experience in advanced IoT instrumentation to create successful career. If you are an energetic, self-motivated and goal-oriented person, please read further.
Experience Required: 0 – 1 year of experience in AI / ML Engineering
Location: Chennai.
Education Required: BE / B. TECH in Computer Engineering, Computer Science and Artificial Intelligence
Role & Responsibilities:
Design, develop, and implement computer vision algorithms and models using Python/C++ on Google Colab and Linux/Unix systems.
Work with deep learning frameworks such as PyTorch, TensorFlow, and Fast AI to build and optimize neural networks.
Utilize CNN, TensorFlow and TensorRT to deploy and optimize deep learning models on various NVIDIA Jetson platforms.
Develop and implement few-shot learning techniques to enhance model performance with limited data.
Collaborate with cross-functional teams to integrate computer vision models into production environments.
Analyze and interpret complex data using tools like Pandas and Numpy to extract meaningful insights.
Stay up to date with the latest advancements in computer vision, machine learning, and AI to ensure cutting-edge solutions.
Troubleshoot, debug, and optimize algorithms and models to achieve the best performance.
Willing to work in Manufacturing Automation.
Qualification Required:
BE / B. TECH in Computer Engineering, Computer Science and Artificial Intelligence
Strong proficiency in Python and C++ programming languages.
Extensive experience with Linux/Unix, Google Cloud systems.
In-depth knowledge of deep learning frameworks such as PyTorch, TensorFlow, and Fast AI.
Hands-on experience with CNN and TensorRT for model deployment and optimization.
Experience with few-shot learning techniques and their applications in real-world scenarios.
Solid understanding of neural networks, machine learning, and AI principles.
Proficiency in using data analysis libraries such as Pandas and Numpy.
Strong problem-solving skills and the ability to work independently or as part of a team.
Excellent communication skills, both written and verbal.
Good hold on communication skills in reading, writing, and speaking.
Self-motivated with excellent time management skills.
Please note that due to high volume of applications, we may not reply to all submissions. Only qualified candidates will receive email response and call.
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