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Computer Vision Engineer
Infosys · Bangalore, India
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We are seeking a highly skilled Computer Vision Engineer with hands-on experience in developing and deploying deep learning models for real-time image and video analytics. The ideal candidate will have a strong background in computer vision, deep learning frameworks, and edge deployment technologies.
- Python, Pytorch, tensorflow
- CV/ML model development
- Object recognition/Detection
- NVIDIA technologies
- MLOps Responsibilities Design, train, and optimize deep learning models for computer vision tasks such as object detection, image recognition, segmentation, and video analytics.
- Lead large-scale real-time implementations involving 100+ video streams.
- Fine-tune models like CNNs and Vision Transformers using frameworks such as TensorFlow, PyTorch, and ONNX.
- Build and deploy inference pipelines using NVIDIA technologies including NGC models, TAO Toolkit, DeepStream Metropolis, and Triton Server.
- Apply pre- and post-processing techniques to enhance model performance and evaluation.
- Develop and implement multi-object tracking algorithms across multiple camera feeds., Perform camera calibration and extract regions of interest (ROI), action recognition using temporal analysis techniques.
- Develop models for feature extraction and come up with strategies for latent space analysis and manipulation of the data.
- Proficiency in writing complex SQL queries, familiarity with NoSQL or Graph Databases (Neo4j) is an advantage.
- Knowledge of infrastructure as code tools (e.g., Terraform, Ansible) is an advantage.
- Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes) is an advantage. Additional responsibilities Good knowledge on software configuration management systems
- Strong business acumen, strategy and cross-industry thought leadership
- Awareness of latest technologies and Industry trends
- Logical thinking and problem solving skills along with an ability to collaborate
- Two or three industry domain knowledge
- Understanding of the financial processes for various types of projects and the various pricing models available
- Client Interfacing skills
- Knowledge of SDLC and agile methodologies
- Project and Team management Education Master Of Comp. Applications,Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology