Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Science,Master Of Comp. Applications
Service Line
Engineering Services
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.
Preferred Skills:
- Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Computer Vision with Azure
- Technology->AI-Data science->Computer Vision
- Technology->AI-AI Engineering->AI/ML Solution Architecture and Design
- Technology->AI-AI Engineering->MLOps->mlflow