Vision AI Engineer

Infinites Hr Services Pune; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infinites Hr Services Pune seeks a Vision AI Engineer to deliver production-grade computer-vision solutions for industrial environments. You will work on model development and the image-acquisition system, ensuring data fed to models is consistent and usable.

You will design camera setups, manage data collection and annotation, and deploy optimized inference pipelines on edge or cloud targets, collaborating with manufacturing and engineering teams for robust, scalable vision solutions.

Qualifications

• Proven experience in computer vision and ML for production environments.
• Strong Python with OpenCV and deep-learning frameworks.
• Hands-on in detection, segmentation, classification and OCR.
• Knowledge of cameras, optics, lighting and edge computation constraints.
• Experience with datasets curation, metrics, and governance.
• Experience deploying optimized inference pipelines with containers.

Responsibilities

• Assess requirements and translate into CV acceptance criteria.
• Design image-acquisition setups: camera, lens, FOV, lighting and calibration.
• Plan data collection, define annotation guidelines and governance.
• Develop and evaluate models for various CV tasks as needed.
• Optimize models for accuracy, latency, and resource use on edge/cloud.
• Build preprocessing/inference/post-processing pipelines and integrate with systems.
• Define tests across lighting, camera drift and failure modes.
• Implement monitoring, data feedback, retraining triggers, and releases.
• Support site installation, commissioning, and performance stabilization.
• Document hardware settings, model versions and procedures.

Skills

Python

OpenCV

PyTorch

TensorFlow

Edge computing

Data annotation

Docker

Model deployment

Industrial vision

Troubleshooting

Education

Bachelor's or Master's in CS/EE/Robotics

Tools

NVIDIA Jetson

ONNX

TensorRT

Industrial vision SDKs

Job description

Job Summary

We are looking for a Vision AI Engineer to deliver production-grade computer-vision solutions for industrial environments. In addition to model development, the role covers the image-acquisition system, including cameras, optics, lighting, positioning, triggering and calibration, so that models receive consistent and usable visual data.

Key Responsibilities

• Assess inspection, detection, safety or traceability requirements and translate them into measurable computer-vision acceptance criteria.
• Design image-acquisition setups covering camera type, lens, field of view, resolution, frame rate, lighting, mounting, triggering and calibration.
• Plan and execute data collection; define annotation guidelines and manage image/video dataset quality, coverage, versioning and governance.
• Develop and evaluate classification, object-detection, segmentation, tracking, OCR or anomaly-detection models as required.
• Optimize models for accuracy, latency, throughput and resource consumption on edge or cloud targets.
• Build preprocessing, inference and post-processing pipelines and integrate results with Digital Twin, MES, quality and workflow systems.
• Define testing across products, shifts, lighting conditions, camera drift, occlusions and realistic failure modes.
• Implement model and system monitoring, dataset feedback loops, retraining triggers and controlled release practices.
• Support site installation, commissioning, root-cause analysis and performance stabilization.
• Document hardware settings, calibration, model versions, test evidence and operating procedures.

Required Skills and Qualifications

• 5-8 years of experience in computer vision, machine learning or image-processing solutions, preferably in production environments.
• Strong Python and practical experience with OpenCV and deep-learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with detection, segmentation, classification, tracking, OCR and image-quality assessment.
• Understanding of industrial cameras, lenses, lighting, calibration, triggering, networking and edge-compute constraints.
• Experience curating and annotating datasets, selecting metrics and evaluating false-accept/false-reject trade-offs.
• Experience deploying optimized inference pipelines using containers, APIs and edge accelerators.
• Ability to troubleshoot the complete vision chain from image formation to model output and system action.
• Bachelors or masters degree in computer science, electronics, instrumentation, robotics or a related discipline.

Preferred Qualifications

• Experience with visual quality inspection, defect detection, PPE/safety monitoring, identification, counting or dimensional checks.
• Exposure to NVIDIA Jetson, TensorRT, ONNX, industrial vision SDKs or equivalent edge technologies.
• Knowledge of MLOps, active learning, synthetic data and Digital Twin integration.
• Experience operating vision systems under variable plant conditions and production-line cycle-time constraints.

Expected Delivery Outcomes

• Repeatable image acquisition and a governed, representative dataset.
• Validated vision model meeting agreed accuracy, latency and throughput criteria.
• Deployable edge/cloud pipeline with monitoring, calibration and support documentation.

Working Style and Stakeholder Engagement

• Work as part of a cross-functional delivery POD with manufacturing, engineering, data, cloud, enterprise application and change teams.
• Communicate complex technical topics in clear business language and maintain disciplined documentation, risk tracking and knowledge transfer.
• Support client workshops, design reviews, testing, deployment and adoption activities; travel to manufacturing locations when required.