AI development engineer

Company Description Dozen Diamonds (DD) is focused on empowering stock brokers and retail investors with the Stressless Trading Method. DD hosts webinars to keep retail investors updated and provides exclusive opportunities for stressless wealth creation. The company aims to help individuals apply the stressless trading method, generate consistent cash flow, and recover losses while gaining confidence in their trading. DD has its office in Nagpur (India) & Atlanta (US). Role Description This is a full-time hybrid role for an AI Development Engineer at Dozen Diamonds. The role will be based in Nagpur with the flexibility to work from home as needed. The AI Development Engineer will be responsible for research and development, software development, programming, testing, and electronics in the creation and enhancement of AI technologies. An AI engineer in an automatic CRM (Customer Relationship Management) system would primarily focus on building, deploying, and maintaining AI models that automate tasks, personalize customer interactions, and improve CRM efficiency . This includes tasks like data analysis, algorithm development, model training, and integration with the CRM platform. A more detailed look at the roles and responsibilities: 1. Data Analysis and Preparation: Data Collection: Gathering and organizing customer data from various sources (e.g., CRM, social media, email, website). Data Preprocessing: Cleaning, transforming, and preparing data for use in AI models. Data Exploration: Analyzing data to identify patterns, trends, and insights. 2. AI Model Development: Algorithm Selection: Choosing appropriate AI algorithms (e.g., machine learning, natural language processing) for specific CRM tasks. Model Training: Training AI models on collected data to learn patterns and make predictions. Model Tuning: Fine-tuning model parameters to optimize performance and accuracy. 3. AI Model Deployment and Integration: Integration: Integrating AI models into the CRM system to enable automation and personalization. API Development: Creating APIs for AI models to communicate with the CRM system. Deployment: Deploying AI models to a cloud or on-premise infrastructure. 4. Continuous Monitoring and Improvement: Performance Monitoring: Monitoring the performance of AI models and identifying areas for improvement. Model Retraining: Retraining AI models periodically with new data to maintain accuracy and relevance. Maintenance: Ensuring the reliability and scalability of AI models. Specific Applications within CRM: Lead Scoring: Automatically scoring leads based on their likelihood of conversion. Personalized Recommendations: Providing personalized product or service recommendations to customers. Automated Email Campaigns: Generating and sending automated email campaigns based on customer behavior. Predictive Analytics: Forecasting customer behavior, predicting churn, and identifying high-value customers. Chatbots and Virtual Assistants: Developing AI-powered chatbots and virtual assistants for customer support. Sentiment Analysis: Analyzing customer interactions (e.g., social media, emails) to understand sentiment and identify potential issues. Qualifications Research and Development (R&D) skills Software Development and Programming expertise Testing capabilities Knowledge of Electronics Strong problem-solving and analytical skills Experience in AI development and machine learning Bachelor's or Master's degree in Computer Science, Engineering, or related field Excellent communication and teamwork skills Show more Show less