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T&M Services Consulting Pvt Ltd
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Machine Vision Engineer

Machine Vision Engineer

T&M Services Consulting Pvt Ltd

10 years

0 Lacs

sriperumbudur tamil nadu india

Posted:17 hours ago| Platform:

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Skills Required

vision design learning algorithms segmentation reconstruction ocr pipeline data preprocessing inference processing model pytorch tensorflow dataset annotation testing benchmarking analysis reliability deployment quantization onnx latency power software research prototyping engineering code electrical robotics programming opencv calibration fusion lidar docker kubernetes mlflow imaging algebra probability optimization

Work Mode

On-site

Job Type

Full Time

Job Description

Department: Machine Vision / Computer Vision

Location: Chennai

Type: Full-time

Experience : Mid senior to Senior (3–10+ years)

Location:

Key Responsibilities

Algorithm Development:
Design, implement, and optimize computer vision and deep learning algorithms for object detection, segmentation, 3D reconstruction, OCR, anomaly detection, and pose estimation.
End-to-End Pipeline Ownership:
Develop and maintain robust vision pipelines, encompassing data ingestion, preprocessing, inference, post-processing, and system integration.
Model Lifecycle Management:
Train, fine-tune, evaluate, and deploy deep learning models (CNNs, Transformers, etc.) using frameworks like PyTorch, TensorFlow, or JAX.
Data Strategy:
Lead dataset curation, annotation, and augmentation efforts, including the use of synthetic data generation to improve model robustness.
Testing & Validation:
Conduct rigorous testing, benchmarking, and error analysis under real-world conditions to ensure system reliability and performance.
Performance Optimization:
Optimize models for edge deployment using techniques such as quantization, pruning, and leveraging inference engines like TensorRT, ONNX, or OpenVINO to meet strict latency and power constraints.
Embedded Integration:
Collaborate with embedded engineers to port and optimize vision software for various hardware platforms (SoCs, GPUs, NPUs).
Research & Innovation:
Stay current with the latest research in computer vision and machine learning, rapidly prototyping new techniques to enhance our capabilities.
Software Engineering Best Practices:
Write clean, documented, and maintainable code, and actively contribute to internal libraries, tools, and code reviews.

Required Qualifications

Bachelor’s/master’s in computer science, Electrical Engineering, Robotics, or a related field.
3+ years
of hands-on industry experience in computer vision or machine learning (including relevant internships).
Strong programming proficiency in
Python
and
C++
.
Deep, practical experience with at least one major deep learning framework (
PyTorch is strongly preferred
).
A proven track record of deploying real-time computer vision systems into a production environment.
Solid foundation in classic computer vision (OpenCV, camera calibration, feature detection, multi-view geometry).
Experience working with 2D/3D data formats, point clouds, and sensor fusion (e.g., camera with LiDAR/IMU).

Preferred Skills & Experience

Publications or significant contributions at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICRA, IROS).
Experience with large-scale distributed model training.
Familiarity with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow, Weights & Biases).
Domain experience in robotics, autonomous systems, medical imaging, or industrial quality inspection.
Knowledge of safety-critical software standards (e.g., IEC 61508, ISO 26262).
Strong mathematical background in linear algebra, probability, optimization, and 3D geometry.

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