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Ai Ml Engineer (Python + LLM)

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Onsite

Ai Ml Engineer (Python + LLM)

Onward Technologies

Ai Ml Engineer (Python + LLM)

Skills

SQL QueriesData EngineeringDockerData MiningPythonData VisualizationMySQLGitMachine LearningAIAutodesk InventorPower BIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

31 August 2026

What they need


Job Title: AIML Engineer

Location: Pune
Experience: 3-10 Years

Job responsibilities-

  1. Develop and maintain Python-based automation pipelines for CAD data extraction, BOM transformation (EBOM to MBOM), and multi-source data ingestion from PLM/ERP systems (Enovia, MAPICS, Bidman).

  2. Build AI/ML solutions including LLM-based work instruction generation (GPT-4/Azure OpenAI), computer vision inspection recipes, and AI-assisted PFMEA using historical quality data.

  3. Develop CAD automation scripts using Inventor API / Creo Toolkit for engineering-to-manufacturing CAD conversion, DFM/DFA analysis, fixture design, 3D wiring harness extraction, and AR/VR asset export (glTF/USD).

  4. Create Python-based Windows desktop applications for manufacturing engineering workflows including PowerPoint automation (report generation, digital thread documentation), Word automation (work instruction formatting), and Excel automation (BOM processing, PFMEA matrices, load-balancing charts).

  5. Build process planning and sequencing tools precedence-graph generators, workload-balancing algorithms, and station-level detailed planning automation with rule-based templates.

  6. Develop Digital Thread Output Generation systems

  7. Implement ETL data pipelines (Mysql, Python scripts) for multi-source ingestion, validation rules engines, and conflict resolution between CAD assemblies, EBOMs, and electrical schematics.

Technical Skills-

  1. Python Development: Expert-level Python programming for automation, scripting, data pipelines, ETL processes, REST API integrations, and Windows application development (PyQt/Tkinter/CustomTkinter).

  2. AI/ML & LLM: Experience with 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.

  3. CAD Expertise: Proficiency in Autodesk Inventor API (iLogic, COM automation) and/or Creo Toolkit/Pro-E API for programmatic model manipulation, assembly automation, feature extraction, and BOM processing. Working knowledge of AutoCAD, SolidWorks, or CATIA APIs is a plus.

  4. Office Automation: Python-based automation of Microsoft Office suite python-pptx (PowerPoint), python-docx (Word), openpyxl/xlsxwriter (Excel) for report generation, template-driven document creation, and batch processing.

  5. Data Engineering: Experience with data pipelines , database operations (SQL/NoSQL), JSON/XML/CSV parsing, schema validation, and data lake architectures.

  6. Manufacturing Domain: Understanding of BOM structures (EBOM/MBOM), process routing, PFMEA, quality control plans (CTQ, RPN scoring), work instructions, and MES/ERP system integration.

  7. PLM/PDM Systems: Experience with Enovia/3DEXPERIENCE REST APIs, vault operations, version control of CAD data, and product lifecycle management workflows.

  8. Version Control & DevOps: Git, CI/CD pipelines, containerization (Docker), and Azure cloud services.

Software Knowledge:

  • Autodesk Inventor (API/iLogic)

  • Creo Parametric (Toolkit API)

  • AutoCAD (scripting/API)

  • Python (3.8+)

  • Azure OpenAI / GPT-4

  • Power BI (data visualization)

Qualification-

M.E./M.Tech or B.E./B.Tech / Mechanical / Industrial / Electrical Engineering (or related) with relevant experience in CAD automation and AI/ML development.

Balanced pyramid of experience between 3 to 10 years required.

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