AI Engineer Computer Vision

Iqud Tek

1 - 4 years

9 - 13 Lacs

gandhinagar

Posted:2 days ago| Platform:

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Skills Required

biometrics computer vision performance tuning backend gcp analytical debugging machine learning analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Develop, train, and optimize Computer Vision models for object detection, segmentation, OCR, anomaly detection, rPPG-based vitals extraction, and custom video analytics.
Build robust data pipelines for image/video ingestion, cleaning, mentation, and annotation workflows.
Perform model evaluation using standard metrics such as mAP, IoU, F1, precision, recall, latency, and accuracy.
Deploy models to production using TensorFlow, PyTorch, ONNX Runtime, or OpenVINO.
Develop scalable inference APIs and integrate models with backend systems.
Implement model optimization techniques including quantization, pruning, distillation, and GPU acceleration.
Research and experiment with modern architectures like Transformers, YOLO variants, RNN/CNN hybrids, and lightweight mobile models.
Collaborate with DevOps teams to containerize inference workloads using Docker and deploy on cloud platforms.
Document experiments, results, and best practices clearly for internal teams and clients.

Required Skills

Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
Solid understanding of machine learning algorithms and computer vision fundamentals.
Experience with OpenCV, NumPy, and image/video preprocessing.
Hands-on experience with datasets, annotations, and CV pipeline design.
Ability to train, vali , and tune deep learning models.
Familiarity with deploying ML workloads on cloud or containerized environments.
Good analytical and debugging skills.

Nice-to-Have Skills

Experience with YOLOv7/8, Detectron2, MediaPipe, OpenVINO, or ONNX Runtime.
Exposure to rPPG signal extraction, vitals estimation, and video-based biometrics.
Understanding of MLOps tools and practices.
Knowledge of AWS, GCP, or Azure ML services.
Experience with GPU optimization and real-time model performance tuning.

Interested candi apply at [email protected]

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