AI Engineer (Manufacturing AI & Vision AI)

Samkwang India Electronic; Greater Noida; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Samkwang India Electronic is seeking an AI Engineer to build and deploy Vision AI solutions for smart manufacturing. You will develop ML/DL models, optimize performance, and support AI-powered automation across domestic and overseas sites.

You will collect image data, preprocess it, and create high-quality training datasets. Collaboration with production, quality, and IT teams is essential to translate business needs into robust AI products.

Qualifications

• Strong Python programming, OOP, and software engineering fundamentals.
• Experience with Vision AI, ML/DL, and data preprocessing.
• Ability to integrate AI models with MES, ERP, PLM systems.

Responsibilities

• Develop and optimize Vision AI and ML models for manufacturing.
• Prepare training data and datasets from image/process data.
• Design AI-powered automation using Generative AI, LLMs, and RPA.
• Develop AI APIs and integrate with enterprise systems.
• Monitor model performance and collaborate with cross-functional teams.

Skills

Python

Object-oriented programming

Machine Learning

Deep Learning

Computer Vision

Data preprocessing

REST APIs

Education

Bachelor's degree in CS/EE

Tools

OpenCV

PyTorch

TensorFlow

Scikit-learn

FastAPI

Job description

Job Title: AI Engineer (Vision AI & Manufacturing Solutions)

Job Summary

We are seeking a highly motivated AI Engineer to develop, deploy, and optimize AI-powered solutions for smart manufacturing. The ideal candidate will work on Vision AI, Machine Learning, Generative AI, and RPA projects to improve production efficiency, quality inspection, and business automation across domestic and overseas manufacturing sites.

Key Responsibilities

• Develop, train, and optimize Vision AI and Machine Learning models for manufacturing applications.


• Collect image and process data, perform data preprocessing, and prepare high-quality training datasets.


• Design and implement AI-powered automation solutions using Generative AI, LLMs, and RPA technologies.


• Develop AI APIs and integrate AI models with enterprise systems such as MES, ERP, PLM, and other internal applications.


• Identify AI use cases and support AI project implementation across manufacturing plants.


• Monitor AI model performance and continuously improve model accuracy and reliability.


• Collaborate with production, quality, engineering, and IT teams to understand business requirements.


• Troubleshoot AI applications and provide operational support after deployment.


• Maintain technical documentation and follow software development best practices.


• Stay updated with emerging AI technologies and recommend innovative solutions.

Required Skills

Programming

• Strong proficiency in Python


• Knowledge of object-oriented programming and software engineering principles

Artificial Intelligence

• Machine Learning


• Deep Learning


• Computer Vision


• Data preprocessing and feature engineering


• Model training, evaluation, and optimization

AI Frameworks

• PyTorch


• TensorFlow


• Scikit-learn

AI Development

• Prompt Engineering


• Generative AI


• LLM applications


• AI automation tools

Integration

• REST APIs


• JSON


• API integration with enterprise applications

Soft Skills

• Strong analytical and problem-solving abilities


• Good communication and teamwork


• Ability to understand manufacturing business processes


• Willingness to learn new technologies

Preferred Qualifications

• Experience with OpenCV


• Experience with YOLO object detection models


• Experience with OCR technologies


• Experience in Vision AI-based quality inspection


• Experience with RPA platforms (UiPath, Automation Anywhere, Power Automate)


• Experience with Generative AI, LLMs, AI Agents, or LangChain


• Experience with FastAPI, Flask, or Spring Boot


• Knowledge of MES, ERP, and PLM systems


• Experience with Linux environments


• Experience with Docker and containerization


• Experience using Git/GitHub/GitLab


• Knowledge of cloud platforms such as Azure, AWS, or Google Cloud