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5.0 - 10.0 years

13 - 16 Lacs

Noida, Chennai, Bengaluru

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We are seeking an experienced and highly skilled Technical Lead with a strong background in Python and Computer Vision to lead and drive innovative projects. The ideal candidate will be responsible for leading a team of engineers, designing scalable solutions, and implementing cutting-edge computer vision technologies to solve real-world problems. Key Responsibilities Design and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and more. Build scalable and efficient systems for processing image and video data in real-time or batch mode. Develop and integrate tools for data preprocessing, annotation, and visualization. Leverage frameworks such as OpenCV, PyTorch, TensorFlow, or similar for development. Review code, ensure best practices, and resolve technical challenges within the team. Design scalable, distributed systems to handle high-throughput image and video data. Build and integrate APIs to serve computer vision models for various applications. Work closely with data engineers to design ETL pipelines for computer vision datasets. Ensure data governance, quality, and compliance with standards. Required Skills and Qualifications Educational Background : Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field. Technical Expertise : Strong programming skills in Python, with a focus on OOP and modular development. Proficiency in computer vision frameworks (OpenCV, TensorFlow, PyTorch, etc.). Hands-on experience with machine learning algorithms and deep learning models (e.g., CNNs, RNNs, Transformers). Experience with video and image processing techniques such as feature extraction, filtering, and transformation. Knowledge of tools like YOLO, SSD, Mask R-CNN, or equivalent object detection frameworks.

Posted 2 months ago

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4.0 - 9.0 years

20 - 25 Lacs

bengaluru

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Job Description: Profile Overview: We are seeking a skilled AI/ML Engineer with expertise in developing and deploying classical machine learning models for image/time series data and building agentic workflow with Large Language Models. Strong understanding of deep learning concepts, including transformers, attention mechanisms, and transfer learning. Developing and debugging machine learning models using Python and ML libraries (TensorFlow, PyTorch). Expertise in Graph Neural Networks is a plus. Expertise in Large Language Models - prompt engineering and agentic workflow - is a plus. 4+ years' experience Mathematics, Computer Science or Electronics degree required. Preparing datasets from unstructured data in papers/books/internet by extracting images, text, and tables. Develop knowledge graphs from unstructured data. Apply data augmentation and synthetic data generation techniques to enhance model performance. Developing agentic workflow around LLMs. Preparing evaluation frameworks for LLMs for consistency. Deployment of Large Language Models in on-premises environments.

Posted Date not available

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