More jobs:
Job Description & How to Apply Below
Experience: 5+ Years
Job Summary
We are seeking a highly skilled AI/ML Builder with strong expertise in Salesforce and Generative AI technologies. The ideal candidate will design and implement intelligent, scalable, and secure AI-driven Salesforce solutions using Einstein, Einstein GPT, LLMs, and external AI/ML services. The role involves building advanced workflows, personalized recommendations, intelligent automation, RAG pipelines, and custom bots to enhance the Salesforce ecosystem.
Key Responsibilities- Salesforce Development & Customization:
Design, develop, test, document, and deploy scalable Salesforce solutions aligned with business requirements. - Extend Salesforce functionality using Apex (Triggers/Classes), LWC, Aura, Visualforce, and Salesforce APIs.
- Build Salesforce applications with a focus on performance, security, and usability.
- AI/ML Development & Integration:
Develop, train, and deploy AI/ML models for automation, predictions, scoring, forecasting, and real-time decision-making. - Integrate AI/ML solutions into Salesforce CRM using both native (Einstein/Einstein GPT) and external technologies (Python-based models, Azure/AWS ML services).
- Design and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and LLMs for deep contextual insights within Salesforce workflows.
- Build custom AI-powered automation solutions, including Einstein Bots and bespoke GenAI-driven bots for sales and service processes.
- Architecture, Dev Ops & Performance:
Manage end-to-end CI/CD processes using Git and modern deployment tools. - Ensure production-grade scalability, reliability, and performance of AI/ML pipelines.
- Implement best practices for data security, compliance, and governance—especially for sensitive customer data.
- Monitor model accuracy, maintain feedback loops, and continuously fine-tune AI systems for improved user experience.
- Work closely with product managers, engineering teams, and data teams to identify opportunities for AI-driven enhancements.
- Stay current with advancements in Generative AI (transformers, LLMs, enterprise tools) and evaluate their applicability to business use cases.
- 5–7 years of experience in Power BI development and implementation (Dashboarding, Analytics, Reporting).
- Strong expertise in building and deploying AI/ML models for automation and decision-making.
- Deep experience integrating AI/ML capabilities with Salesforce CRM (Einstein, Einstein GPT, Python models, Azure/AWS ML services).
- Solid understanding of Generative AI concepts: LLMs, transformers, vector databases, RAG pipelines.
- Hands‑on experience with Apex, LWC, Aura, Salesforce APIs, and custom automation frameworks.
- Strong problem‑solving skills, analytical thinking, and the ability to work in cross‑functional environments.
- Salesforce certifications (AI Associate, Admin, Platform Developer).
- Experience with MLOps tools and cloud services (AWS Sagemaker, Azure ML, GCP AI Platform).
- Knowledge of Dev Ops tooling:
Copado, Azure Dev Ops, Git Lab, Jenkins. - Experience with building conversational AI or multi‑agent workflow pipelines.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×