| Remote :: AI ML Engineer :: Only - at Minneapolis, Minnesota, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2944759&uid=1930c4ab87084ed8b5f4c2ff40e90ac3 From: Mahesh Kumar, Testingxperts [email protected] Reply to: [email protected] Job Title: AI/ML Engineer Location: Minneapolis, MN(Remote) Job Description: 1. Design, develop, test, document, and deploy Salesforce solutions based on business needs. 2. Develop and deploy AI/ML models for real-time decision-making and automation. 3. Integrate AI/ML solutions into Salesforce CRM to enable intelligent data retrieval, personalized recommendations, workflow automation, forecasting, scoring, and opportunity insights. 4. Enhance Salesforce applications with advanced AI features using both native (Einstein/Einstein GPT) and external technologies (Python-based models or Azure/AWS ML services). 5. Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and Large Language Models (LLMs) for improved contextual understanding within Salesforce workflows. 6. Extend platform functionality using Apex (Triggers/Classes), LWC, Aura Framework, Visualforce Pages, Apex APIs and web services. MUST HAVE SKILLS 1. Bachelor's degree in Computer Science, Information Systems, Statistics, or a comparable discipline is required, with prior experience in data analysis or a related field being advantageous 2. 5-7 years of experience in Power BI development and implementation 3. AI/ML Expertise: Building and deploying models for real-time decision-making and automation. 4. Integration Skills: AI/ML integration with Salesforce CRM (Einstein/Einstein GPT and external technologies like Python-based models or Azure/AWS ML services). 5. Generative AI Knowledge: Familiarity with transformers, LLMs, and Retrieval-Augmented Generation (RAG) pipelines using vector databases. 6. Automation Development: Creating AI-powered automation solutions, including Einstein Bots and custom bots for sales/service workflows. 7. CI/CD Proficiency: Managing deployment processes using Git. 8. Cloud Platforms: Experience with Azure/AWS ML services and enterprise-grade integrations. 9. Security & Compliance: Ensuring data privacy, scalability, and reliability of AI models in production. 10. Collaboration: Ability to work with product managers, engineers, and data teams for AI-driven enhancements. 11. Continuous Improvement: Monitoring model accuracy and implementing feedback loops for better user experience. Thanks & Regards, Mahesh Kumar | Recruiter [email protected] linkedin.com/in/mahesh-kumar-025763257 www.testingxperts.com Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence Minnesota Remote :: AI ML Engineer :: Only - [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2944759&uid=1930c4ab87084ed8b5f4c2ff40e90ac3 |
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| 02:02 AM 21-Nov-25 |