AI Engineer
Al Rouf LED
Posted on 1 Sep
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Experience
2 - 5 Years
Job Location
Education
Bachelor of Technology/Engineering
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Job Location
Saudi Arabia
Experience
2 to 5 years
Qualification Level
Post Graduate; Engineering Graduates/PG
Job Function
IT - Software
Skillset
Technical Skills, Mathematical & Analytical Skills
Preferred Jobseekers
Locally available candidates only apply for this job
AI Engineer ERP & Digital Operations (DFF OPS)
Role Overview
We 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).
Company Industry
- Consulting
- Management Consulting
- Advisory Services
Department / Functional Area
- Engineering
Keywords
- AI Engineer
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