Description

Design, train, and optimize deep learning models for computer vision tasks including object detection, image recognition, segmentation, and video analytics.

Responsibilities

• Lead large-scale real-time implementations involving 100+ video streams.
• Fine-tune CNNs and Vision Transformers using TensorFlow, PyTorch, and ONNX.
• Build and deploy inference pipelines using NVIDIA NGC, TAO Toolkit, DeepStream Metropolis, and Triton Server.
• Apply pre- and post-processing techniques to enhance model performance and evaluation.
• Develop multi-object tracking algorithms and perform camera calibration to extract regions of interest.

Required Skills

• 5+ years of experience in computer vision and deep learning.
• Proficiency in PyTorch and TensorFlow for model training and fine-tuning.
• Experience with NVIDIA technologies including Triton Server and DeepStream.
• Strong SQL skills with familiarity in NoSQL or Graph Databases like Neo4j.
• Knowledge of infrastructure as code tools such as Terraform and Ansible.
• Proficiency with containerization (Docker) and orchestration (Kubernetes).
• Understanding of SDLC and Agile methodologies.

Preferred Skills

• Experience with action recognition using temporal analysis techniques.
• Knowledge of latent space analysis and data manipulation strategies.
• Business acumen with client interfacing and project management skills.

Key Skills

Education

Bachelor's degree