| Job Location | Saudi Arabia |
| Education | Post Graduate; Engineering Graduates/PG |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
AI Engineer – ERP & Digital Operations (DFF OPS)Role OverviewWe are seeking an AI Engineer to design and implement AI-driven operation applications (OPS) within our Dynamic ERP migration and AI Factory initiative.The engineer will be central in digitizing the RFQ→Quote process, building a secure Data Lake, integrating with Salesforce/Odoo/M365, and enabling Smart Quotation Engines. This role blends AI/ML development with ERP process automation, ensuring our operations become data-driven, efficient, and scalable.Key Responsibilities•ERP + AI Integration: Embed AI capabilities into Odoo ERP modules (Sales, Inventory, Supplier Management).•RFQ→Quote Automation: Build parsing models to extract fields from emails/website RFQs; support supplier matching and outreach with human-in-the-loop AI.•Smart Quotation Engine: Develop RAG-based assistants using catalogs, specs, and certificates to speed up quotation creation.•Data Lake & BI: Design pipelines from ERP/CRM/email into Azure Data Lake; ensure data readiness for Power BI dashboards.•Predictive Analytics: Implement forecasting (demand, lead-times, margins) and anomaly detection on supplier/quote data.•Integrations: Develop connectors and APIs to sync Odoo, Salesforce, and M365 with minimal failure rate.•Governance: Ensure data quality (deduplication, cleansing), security, RBAC, and compliance across all AI modules.•Collaboration: Work with cross-functional teams (sales, technical, ERP integrators) to translate business workflows into AI applications.Qualifications•Bachelor/Master’s in Computer Science, AI, or Data Engineering.•Hands-on experience with ERP platforms (Odoo preferred; SAP/Oracle/MS Dynamics a plus).•Strong skills in Python, APIs, SQL, NLP, ML frameworks (PyTorch/TensorFlow).•Familiarity with Azure Data Lake / Fabric, Power BI, M365 Graph.•Experience with RAG, vector databases (pgvector, FAISS), Streamlit/fastAPI.•Understanding of supply chain and quotation processes is highly desirable.Preferred•Prior experience in RFQ→Quote automation or B2B procurement systems.•Background in manufacturing/lighting or industrial operations.•Exposure to IoT/ERP integrations and workflow automation (RPA).
Keyskills :
Technical Skills Mathematical & Analytical Skills
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