Job Details :

Location : Kolkata

Department : Engineering

Experience : 4 - 6 Years

Mode of Employment : Full-Time

Role Overview :

The Senior Software Engineer (Python) will be responsible for developing, optimizing, and deploying AI-powered video analytics solutions as part of Videonetics cutting-edge video computing platform. This role focuses on integrating deep learning models into real-time video surveillance systems, optimizing performance across GPU and edge hardware, and collaborating with cross-functional teams to deliver scalable, production-ready AI solutions.

Key Responsibilities :

- Develop and maintain Python-based inference and video analytics pipelines for AI-driven surveillance products.

- Integrate AI/DL models into video systems using frameworks such as TensorFlow, PyTorch, and OpenCV.

- Optimize and deploy models on edge devices using NVIDIA TensorRT, CUDA, and Intel OpenVINO toolkits.

- Build real-time video analytics pipelines for object detection, tracking, and behavioral analysis.

- Contribute to the full AI model lifecycle including data preprocessing, training, evaluation, optimization, and deployment.

- Perform performance profiling, benchmarking, memory tuning, and optimization across multiple hardware platforms.

- Develop utilities for model conversion, quantization, and optimization (e.g., ONNX).

- Collaborate with AI researchers, platform engineers, and product teams to deliver end-to-end AI solutions.

- Ensure robustness, scalability, and production readiness of deployed AI modules.

Qualifications & Experience :

- 46 years of hands-on experience in Python development with AI/ML-based projects.

- Strong experience with deep learning frameworks such as TensorFlow and PyTorch.

- Solid understanding of deep learning architectures (e.g., YOLO, SSD, ResNet).

- Experience with GPU acceleration using NVIDIA CUDA, TensorRT, and Intel OpenVINO.

- Familiarity with video and data processing, multithreading, and system optimization techniques.

- Exposure to model deployment and conversion tools such as ONNX.

- Strong debugging, documentation, and communication skills.

- Ability to work independently and collaboratively in a fast-paced engineering environment.