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

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.

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