Computer Vision Engineer

We are looking for a skilled and solution-oriented Computer Vision Engineer to design, develop, deploy, and maintain computer vision and AI-based systems for manufacturing, quality control, warehouse, security, and operational automation.

The candidate will work on real-time camera-based applications such as object detection, OCR, product and packaging inspection, vehicle and container monitoring, counting systems, defect detection, process compliance, and automated data capture

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The role requires hands-on experience in Python, OpenCV, deep learning frameworks, camera integration, edge devices, and production deploymen

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Key Responsibilit

iesComputer Vision Developm

• entDevelop computer vision solutions for object detection, image classification, segmentation, tracking, OCR, and anomaly detecti
• on.Build systems for packaging inspection, bag counting, label verification, defect identification, and process monitori
• ng.Train, fine-tune, test, and optimize deep learning models using real operational da
• ta.Prepare and manage image and video datasets, including annotation, augmentation, cleaning, and validati
• on.Evaluate model performance using appropriate accuracy, precision, recall, F1-score, and inference-speed metri

cs.Camera and Hardware Integrat

• ionIntegrate industrial cameras, IP cameras, lenses, sensors, lighting systems, and edge-computing devic
• es.Configure camera angles, resolution, exposure, focus, frame rate, lighting, and image-capture conditio
• ns.Deploy computer vision applications on Raspberry Pi, NVIDIA Jetson, local servers, cloud servers, or industrial compute
• rs.Troubleshoot camera connectivity, network issues, hardware failures, image-quality problems, and performance bottlenec

ks.OCR and Image Process

• ingDevelop OCR-based solutions for reading batch numbers, dates, labels, barcodes, QR codes, printed text, and packaging informati
• on.Apply image-processing techniques such as resizing, thresholding, denoising, contrast enhancement, edge detection, and perspective correcti
• on.Improve OCR accuracy for different fonts, lighting conditions, packaging materials, and camera positio
• ns.Integrate OCR results with databases, reports, dashboards, and business applicatio

ns.System Development and Deploym

• entDevelop backend APIs and services using Python frameworks such as FastAPI or Fla
• sk.Integrate computer vision applications with MySQL, PostgreSQL, SQL Server, or other databas
• es.Store images, videos, model outputs, timestamps, user actions, and inspection results secure
• ly.Deploy applications on on-premises servers, cloud platforms, and edge devic
• es.Implement real-time alerts, logs, dashboards, automated reports, and exception notificatio
• ns.Maintain proper version control, deployment documentation, and model versioni

ng.Production Support and Improvem

• entMonitor deployed systems and ensure continuous operational availabili
• ty.Analyse false detections, missed detections, and system failur
• es.Retrain and improve models based on new images, products, packaging formats, and production conditio
• ns.Optimize models for faster inference and reduced hardware requiremen
• ts.Conduct regular system health checks, backup verification, and preventive maintenan
• ce.Provide technical support to factory, quality, production, IT, and operations tea

ms.Project Coordinat

• ionUnderstand business requirements and convert them into practical computer vision solutio
• ns.Conduct site surveys to assess camera placement, lighting, network, hardware, and operational requiremen
• ts.Coordinate with internal departments, hardware vendors, software vendors, and implementation partne
• rs.Prepare requirement documents, technical architecture, process flows, test cases, user manuals, and deployment documen
• ts.Conduct user acceptance testing and provide training to end use
• rs.Ensure projects are completed within the defined scope, timeline, and quality standar

ds.Required Technical Ski

• llsStrong programming knowledge in Pyth
• on.Hands-on experience with OpenCV, NumPy, Pandas, and image-processing librari
• es.Experience with deep learning frameworks such as PyTorch, TensorFlow, or Ker
• as.Knowledge of object detection models such as YOLO, Faster R-CNN, SSD, or similar architectur
• es.Experience with OCR tools such as Tesseract, EasyOCR, PaddleOCR, or cloud-based OCR servic
• es.Understanding of image classification, object tracking, segmentation, and anomaly detecti
• on.Experience with camera integration, RTSP streams, IP cameras, USB cameras, and video processi
• ng.Knowledge of REST APIs, FastAPI, Flask, or similar backend framewor
• ks.Working knowledge of SQL databas
• es.Familiarity with Linux, Windows Server, Docker, Git, and basic networki
• ng.Experience deploying models on Raspberry Pi, NVIDIA Jetson, GPU servers, or other edge devic
• es.Understanding of model optimization techniques such as ONNX, TensorRT, quantization, or pruni

ng.Educational Qualificat

• ionB.Tech / B.E. / M.Tech / M.E. in Computer Science, Information Technology, Electronics, Electrical Engineering, Artificial Intelligence, Data Science, or a related discipli
• ne.Candidates with relevant certifications and strong practical project experience may also be consider

ed.Experie

• nce2 to 5 years of relevant experience in computer vision, artificial intelligence, machine learning, image processing, or industrial automati
• on.Freshers with strong computer vision projects, internships, GitHub portfolios, or practical deployment experience may also be considered for a junior positi

on.Preferred Experie

• nceExperience in manufacturing, FMCG, packaging, warehouse, logistics, or quality-control environmen
• ts.Experience in defect detection, packaging inspection, bag counting, OCR, vehicle monitoring, or industrial surveillan
• ce.Experience working with production-line cameras and real-time video strea
• ms.Knowledge of PLC, IoT devices, sensors, and industrial automation syste
• ms.Familiarity with cloud platforms such as AWS, Azure, or Google Clo
• ud.Experience in dashboard integration using Power BI, Grafana, Streamlit, or web applicatio

ns.Behavioural Competenc

• iesStrong analytical and problem-solving abili
• ty.Ability to work independently at factory and project locatio
• ns.Good communication and documentation skil
• ls.Willingness to test solutions in real production environmen
• ts.Ability to coordinate with technical and non-technical stakeholde
• rs.Strong attention to detail and commitment to accura
• cy.Ability to manage multiple projects and prioriti
• es.Willingness to learn new technologies and continuously improve deployed solutio

ns.Key Performance Indicat

• orsAccuracy and reliability of deployed computer vision mode
• ls.Reduction in false detections and missed detectio
• ns.System uptime and response ti
• me.Successful completion of projects within the approved timeli
• ne.Improvement in process automation and reduction in manual effo
• rt.Speed of issue resolution and production suppo
• rt.Quality of technical documentation and user traini
• ng.Successful integration with existing databases, servers, reports, and business syste

ms.Key Projects Under the R

• oleOCR-based bag and packaging identificati
• on.Product and packaging defect detecti
• on.Automated bag, carton, pallet, or vehicle counti
• ng.Container entry, loading, and inspection monitori
• ng.Label, barcode, QR code, and batch-number verificati
• on.Production-line compliance monitori
• ng.Safety-equipment and restricted-area monitori
• ng.Automated image-based quality inspecti
• on.Real-time camera dashboards and exception aler
• ts.Integration of computer vision outputs with ERP, databases, and reporting syste

ms.
Interested candidates can share updated resume at mandakranta.mahapatra@jaytea.com with current CTC, expected CTC and notice per