Salesforce Einstein+ AgentForce Developer

Job Description

Key Responsibilities : 1. Einstein Analytics : Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. 2. Einstein Prediction Builder : Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. 3. Einstein Discovery : Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. 4. AI-Powered Solutions : Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. 5. Integration : Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. 6. Data Preparation : Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. 7. Model Training and Deployment : Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. 8. Solution Deployment : Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : 1. Salesforce Experience : At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. 2. Agentforce Experience : At least 2 years of experience with Salesforce Agentforce, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. 3. AI and Machine Learning Experience : At least 2 years of experience with AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. 4. Programming Skills : Strong proficiency in programming languages, such as Python, Java, and Apex. 5. Data Analysis and Visualization : Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. 6. Communication and Collaboration : Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.