Hiring Senior Computer Vision Engineer – Vision Systems & Inference

Location: Navi Mumbai

Position: 3 opening

Key Responsibilities

Experience: 5+ years

Senior Computer Vision Engineer – Vision Systems & Inference

Experience: 5+ years

Role Overview

We are looking for an experienced Computer Vision Engineer who has built and deployed real-world computer vision analytics systems involving object detection, segmentation, tracking, OCR, video analytics, and multi-camera processing.

The ideal candidate should have strong computer vision fundamentals along with hands-on experience designing inference architectures, high-throughput data pipelines, model integration, system optimization, and production deployment.

This is primarily an applied computer vision engineering role, with emphasis on building reliable and scalable vision systems.

Key Responsibilities

Computer Vision & Model Implementation

- Implement and fine-tune computer vision models for object detection, segmentation, tracking, OCR, and video analytics.
- Work extensively with architectures such as YOLO and other modern detection/segmentation models.
- Integrate and adapt pretrained models for application-specific datasets and requirements.
- Evaluate models using appropriate accuracy, robustness, and performance metrics.

Multi-Camera & Object Tracking
- Design and implement multi-object and multi-camera tracking systems.
- Work with tracking approaches such as ByteTrack, DeepSORT, ReID-based tracking, or similar techniques.
- Handle object association, identity consistency, camera streams, and temporal information in real-world environments.

OCR & Video Analytics




- Work with modern OCR pipelines for applications such as ANPR, text detection, and recognition.
- Build complete video-processing workflows combining detection, tracking, OCR, segmentation, and business analytics.

Inference Architecture & Performance Optimization
- Design efficient inference pipelines for real-time and high-throughput video processing.
- Optimize GPU/CPU utilization, model execution, preprocessing, post-processing, and data movement.
- Use multiprocessing, multithreading, asynchronous processing, queues, batching, and pipeline parallelism where appropriate.
- Identify and resolve inference bottlenecks involving compute, memory, I/O, or system architecture.

Data Pipeline Engineering
- Build scalable pipelines capable of processing large image/video datasets and multiple camera streams.
- Develop efficient preprocessing, augmentation, validation, storage, and data-ingestion workflows.
- Design systems that can reliably process continuous or large-volume visual data.

Deployment
- Deploy computer vision applications across GPU servers, cloud infrastructure, and edge platforms such as NVIDIA Jetson.
- Optimize models using approaches such as TensorRT, ONNX, FP16/INT8 inference, quantization, and batching where applicable.




- Build maintainable production systems around trained computer vision models.

Computer Vision Fundamentals
- Apply solid knowledge of both classical computer vision and deep-learning-based vision techniques.
- Understand image processing, geometric transformations, camera systems, feature extraction, filtering, image enhancement, and related concepts.
- Understand model training, transfer learning, loss functions, optimization, hyperparameter tuning, and model evaluation.

Required Skills
- 5+ years of hands-on experience in Computer Vision / Machine Learning.
- Strong experience with Python, OpenCV, PyTorch and/or TensorFlow.
- Production experience with YOLO or similar object detection and segmentation architectures.
- Strong experience with object tracking and video analytics systems.
- Experience building or integrating OCR pipelines.
- Experience handling multiple camera/video streams.
- Strong understanding of inference architecture and performance optimization.
- Experience with multiprocessing, multithreading, asynchronous pipelines, and GPU-based inference.
- Experience building pipelines for large-scale image/video datasets.
- Good understanding of computer vision fundamentals and deep-learning concepts.
- Experience fine-tuning and adapting pretrained computer vision models.

If this role aligns with your experience, please share your profile at: [email protected]

Pay: ₹384,639.41 - ₹1,602,512.99 per year

Benefits

- Cell phone reimbursement
- Commuter assistance
- Flexible schedule
- Food provided
- Paid sick time
- Paid time off
- Provident Fund

Work Location: In person

📌 Senior Computer Vision Engineer (Navi Mumbai)
🏢 Blue Ocean Systems Infotech
📍 Navi Mumbai