We are looking for an Automation & AI Engineer with experience in Python development, AI/ML, CAD automation, and manufacturing domain integration.

Company: Happiestmind

Role: Automation & AI Engineer

BE/B.Tech in Mechanical / Electrical / Electronics Engineering or related discipline

Python development for automation, scripting, data pipelines, ETL processes, REST API integrations, and Windows application development
AI/ML and LLM technologies for GPT-4/Azure OpenAI fine-tuning, prompt engineering, LLM-based document generation, Stable Diffusion/ControlNet for image generation, computer vision (object detection, OCR), and ML model deployment
CAD automation using Autodesk Inventor API (iLogic, COM automation) and/or Creo Toolkit/Pro-E API for programmatic model manipulation, assembly automation, feature extraction, and BOM processing
Office automation using python-pptx (PowerPoint), python-docx (Word), openpyxl/xlsxwriter (Excel) for report generation, template-driven document creation, and batch processing
Data engineering for data pipelines, database operations (SQL/NoSQL), JSON/XML/CSV parsing, schema validation, and data lake architectures
Manufacturing domain integration with understanding of BOM structures (EBOM/MBOM), process routing, PFMEA, quality control plans (CTQ, RPN scoring), work instructions, and MES/ERP system integration
PLM/PDM Systems integration with Enovia/3DEXPERIENCE REST APIs, vault operations, version control of CAD data, and product lifecycle management workflows

Self-motivated and proactive mindset with ability to work independently on complex automation challenges
Strong collaboration with design engineering, manufacturing engineering, quality, and IT teams
Clear written and verbal communication ability to document technical solutions and present to cross-functional stakeholders
Structured problem-solving and analytical thinking capability
Ability to manage multiple deliverables across different project phases with discipline
Openness to learn new manufacturing technologies, CAD platforms, and AI/ML frameworks
Creativity in applying AI/ML solutions to traditional manufacturing engineering problems
Comfort with ambiguity and ability to prototype and iterate in a fast-evolving technical landscape

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