AI / ML Engineer

Key Responsibilities :

• Design, develop, test, document, and deploy Salesforce solutions based on business needs.
• Develop and deploy AI / ML models for real-time decision-making and automation.
• Integrate AI / ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights.
• Enhance Salesforce applications with advanced AI features using both native (Einstein / Einstein GPT) and external technologies ( Python-based models or Azure / AWS ML services ).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows.
• Extend platform functionality using Apex (Triggers / Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services.
• Create custom AI-powered automation solutions including Einstein Bots and bespoke bots for sales / service processes.
• Manage CI / CD processes with Git to ensure efficient deployment of updates.
• Collaborate with product managers, engineers, and data teams to identify opportunities for impactful AI-driven enhancements in the Salesforce ecosystem.
• Ensure scalability, security / compliance (especially regarding sensitive customer data), reliability and performance of deployed models in production environments.
• Monitor model accuracy and relevance; continuously improve user experience through feedback loops.
• Stay current with advancements in generative AI (including transformers), enterprise-grade integrations / platforms / tools; evaluate applicability to organizational needs.

Required Qualifications :

Preferred Qualifications :