AIML Engineer
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
1 hour ago
Vacancies:
1 Vacancy
Job Summary
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. Bachelors 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
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. Bachelors 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
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
