Experience: 5.00 + years
Salary: INR 2200000-2800000 / year (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: A Vision and Generative AI-powered platform)
(*Note: This is a requirement for one of Uplers client - A Vision and Generative AI-powered platform)
What do you need for this opportunity
Must have skills required:
Computer Vision, GStreamer, FFmpeg, WebRTC/RTMP, RTSP, Deepstream, Nvidia Jetson, Python, TensorRT, PyTorch, TensorFlow
A Vision and Generative AI-powered platform is Looking for:
We are looking for a Systems-First Computer Vision Engineer who specializes in the Last Mile of
AI: taking a model and making it run continuously, reliably, and instantly on live video feeds. This
role is not about training models in a notebook it is about building the high-performance highways
(Pipelines) that allow Vision AI to run in the real world. You will architect robust streaming
architectures using GStreamer/RTSP and optimize inference for ultra-low latency on Edge and Cloud
environments.
Key Responsibilities
- Architect Streaming Pipelines: Design and implement robust, real-time video ingestion
pipelines handling multiple RTSP streams using tools like GStreamer, FFmpeg, and
WebRTC.
- Inference Integration: Take trained models from the ML team and integrate them into
production pipelines. Your goal is to ensure the model runs stable, fast, and without memory
leaks.
- Latency Optimization: Obsess over milliseconds. Optimize data processing pipelines to
ensure low-latency inference on both Edge devices (NVIDIA Jetson) and Cloud servers.
- Fault Tolerance: Build Crash-Proof systems. Ensure that if a camera goes offline or a frame
is dropped, the system recovers gracefully without manual intervention.
- Framework Evolution: Maintain and evolve our proprietary vision framework by writing
modular, reusable, and efficient Python code/libraries.
- Performance Engineering: Diagnose bottlenecks in the system—whether it's CPU, GPU, or
Network—and implement architectural fixes.
Skills & Requirements
- Video Engineering Mastery: Deep expertise in video streaming protocols (RTSP, WebRTC,
FastRTC) and processing tools (FFmpeg, GStreamer). You know how to handle frame
buffers, decoding, and encoding efficiently.
- Core Vision Stack: extensive experience with OpenCV and Image Processing fundamentals.
You understand geometry, color spaces, and pixel-level manipulation.
- Extensive experience with Redis & RDBMS
KoiReader Technologies, Inc. All Rights Reserved.
- Production Python: Strong experience writing fault-tolerant, multi-threaded/async code.
You understand how to manage resources in long-running processes.
- Deployment Native: Hands-on experience with Docker is mandatory. You know how to
containerize a complex vision application with all its dependencies.
- Mathematical Foundation: Command over geometry and statistics for designing complex
logic layers on top of model detections.
Brownie Points
- Hardware Acceleration: Experience with NVIDIA TensorRT, DeepStream, or Triton
Inference Server for maximizing GPU throughput.
- Framework Knowledge: Familiarity with PyTorch/TensorFlow runtimes (strictly for
inference and loading models).
- DevOps Awareness: Understanding of Kubernetes orchestration and CI/CD pipelines.
- Data Handling: Experience with SQL/NoSQL databases for storing metadata and analytics
results.
What We Offer
- Meritocracy: A candid startup culture where the best ideas win.
- The Playground: Access to the latest NVIDIA Hardware and cutting-edge Generative AI
tools.
- Ownership: Lead a performance-oriented team driven by autonomy and open to
experiments.
- Impact: Design systems for high accuracy and scalability that physically move the global
supply chain.
How to apply for this opportunity
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
