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Urgent! Artificial Intelligence Engineer Job Opening In Patna – Now Hiring Recro

Artificial Intelligence Engineer



Job description

AI Engineer - Manufacturing Analysis Platform
Company Overview
We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs.

Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.
Role Overview
We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine.

You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability.

This is a founding engineering role with significant ownership and growth potential.
Key Responsibilities
AI/ML Development
Design and implement ML models for geometric analysis of injection molded plastic parts
Develop computer vision algorithms for automated feature detection in 3D CAD models
Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
Design data pipelines for continuous model training and improvement
Platform Architecture
Architect browser-based AI systems that can process large 3D models efficiently
Integrate STEP/STL file processing with AI analysis workflows
Develop WebAssembly modules for high-performance geometry computation
Build scalable model serving infrastructure supporting real-time analysis
Implement feedback loops to continuously improve model accuracy
Manufacturing Analysis
Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
Build moldflow simulation capabilities using AI-accelerated CFD techniques
Create cost optimization engines that recommend design changes for manufacturability
Implement quality prediction models for common injection molding defects
Design automated report generation with actionable manufacturing insights
Research & Innovation
Stay current with AI/ML advances in manufacturing and CAD analysis
Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
Collaborate with manufacturing experts to validate and improve AI recommendations
Publish research and represent the company at industry conferences
Required Qualifications
Technical Expertise
4+ years of AI/ML engineering experience with production deployments
Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
Computer vision and geometric deep learning experience
Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
Experience with fine tuning ML models
S oftware Engineering
WebAssembly development for high-performance browser applications
Cloud platform experience (AWS, GCP, Azure) for model training and deployment
Database design for handling large geometric datasets
Version control and CI/CD best practices
Mathematical Foundation
Strong linear algebra and calculus background
Statistics and probability for uncertainty quantification
Computational geometry and mesh processing algorithms
Optimization techniques for design parameter tuning
Preferred Qualifications
Domain Knowledge
Manufacturing engineering background in injection molding or similar processes
CAD software experience (SolidWorks, Fusion 360, etc.)
Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
Materials science knowledge for plastic properties and behavior
A dvanced Technical Skills
Graph neural networks for representing CAD geometry
Reinforcement learning for design optimization
Physics-informed neural networks for manufacturing simulation
Edge computing and model compression techniques
Real-time rendering with WebGL/Three.js
Education & Experience
Bachelors or Masters in Computer Science, Engineering, or related field
2+ years in manufacturing technology or CAD software companies
Experience at high-growth startups building technical products from scratch for production
Open source contributions in AI/ML or manufacturing tools


Required Skill Profession

Computer Occupations



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