Position : Dynamics CRM Developer (Python & AI)
Location : Mode : Period : Immediate 15 days notice will work! (who is serving Exp : 5+ :
- Design, develop, and maintain Dynamics CRM solutions tailored to investment workflows such as fundraising, deal tracking, and portfolio monitoring.
- Design, develop, and maintain custom modules, plugins, and workflows in Microsoft Dynamics CRM.
- Customize entities, forms, views, and dashboards to align with business and investment processes.
- Integrate Dynamics CRM with external tools and services using APIs, webhooks, and custom connectors.
- Implement business process flows, role-based security, and data validation within the CRM system.
- Build and maintain CRM dashboards, alerts, and monitoring tools for investment data.
- Support CRM integration with BI tools such as Power BI or Tableau.
- Collaborate with data engineering teams for ETL processes using tools like Alteryx, Talend, or custom Python scripts.
- Automate document ingestion, extraction, classification, and reporting workflows across various formats (PDF, CSV, Excel).
- Build dashboards, alerts, and monitoring tools to track investment and document data quality and flow.
- Develop, customize & maintain Dynamics CRM solutions with Python & AI integrations.
- Automate document processing, classification, and reporting workflows.
- Build dashboards, alerts & monitoring tools for document / investment data.
- Support integration with BI tools (Power BI, Tableau) & ETL processes (Alteryx, Talend, Python).
- Ensure data accuracy, governance, and compliance in investment contexts.
Required Skills & Experience :
5+ years of total IT experience, with 3+ years of hands-on experience in Microsoft Dynamics CRM.Strong knowledge of :1. Dynamics CRM customization, plugin development, and workflow configuration
2. CRM use in investment workflows fundraising, deal pipeline, and portfolio tracking
Proficient in Python for scripting, automation, and integration.Experience with AI / ML tools including Tesseract OCR, Azure Form Recognizer, Google Document AI ChatGPT / OpenAI, NLP models such as BERT or LayoutLMData transformation and ingestion from Excel, CSV, PDF, APIs, or SFTP sources.(ref : hirist.tech)