AI ML Engineer

Ethicsinfotech

4 years

3 - 5 Lacs

Vadodara

Posted:21 hours ago| Platform: GlassDoor logo

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Skills Required

ai ml vision tracking segmentation ocr recognition video data analysis learning algorithms regression clustering processing model optimization quantization programming python integration analytics inspection opencv numpy pytorch research cutting development deployment design extraction tesseract api aws textract azure mlflow onnx inference cuda

Work Mode

On-site

Job Type

Part Time

Job Description

Role & Responsibilities

4+ years of experience applying AI to practical uses
Develop and train computer vision models for tasks like:
Object detection and tracking (YOLO, Faster R-CNN, etc.)
Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract)
Face recognition/blurring, anomaly detection, etc.
Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT).
Process and annotate image/video datasets; apply data augmentation techniques.
Proficiency in Large Language Models.
Strong understanding of statistical analysis and machine learning algorithms.
Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
Understanding of image processing concepts (thresholding, contour detection, transformations, etc.)
Experience in model optimization, quantization, or deploying to edge (Jetson Nano/Xavier, Coral, etc.)
Strong programming skills in Python (or C++), with expertise in:
Implement and optimize machine learning pipelines and workflows for seamless integration into production systems.
Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR/VR).
OpenCV, NumPy, PyTorch/TensorFlow
Computer vision models like YOLOv5/v8, Mask R-CNN, DeepSORT
Engage with multiple teams and contribute on key decisions.
Expected to provide solutions to problems that apply across multiple teams.
Lead the implementation of large language models in AI applications.
Research and apply cutting-edge AI techniques to enhance system performance.
Contribute to the development and deployment of AI solutions across various domains

Requirements

Design, develop, and deploy ML models for:
OCR-based text extraction from scanned documents (PDFs, images)
Table and line-item detection in invoices, receipts, and forms
Named entity recognition (NER) and information classification
Evaluate and integrate third-party OCR tools (e.g., Tesseract, Google Vision API, AWS Textract, Azure OCR,PaddleOCR, EasyOCR)
Develop pre-processing and post-processing pipelines for noisy image/text data
Familiarity with video analytics platforms (e.g., DeepStream, Streamlit-based dashboards).
Experience with MLOps tools (MLflow, ONNX, Triton Inference Server).
Background in academic CV research or published papers.
Knowledge of GPU acceleration, CUDA, or hardware integration (cameras, sensors).

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