AI Developer

• Proficiency in Python (Mandatory skill), with an ability to write clean, efficient, and scalable code for AI and automation projects.
• Deep knowledge and implementation experience in Deep Learning (Mandatory skill) to develop, train, and optimize neural network-based solutions.
• Hands-on expertise in Retrieval-Augmented Generation (RAG) (Mandatory skill) for enhancing retrieval and generation tasks in AI-driven systems.
• Solid understanding of deploying and consuming Rest API, enabling integration with various messaging and automation platforms.
• Practical experience working with Large Language Models (LLMs) including model fine-tuning, inference, and deployment for diverse business applications.
• Strong grasp of Natural Language Processing (NLP) techniques for intent detection, conversational AI, and content analysis on messaging channels.
• Working experience with Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in designing and optimizing AI models for real-world problems.
• Practical knowledge of MySQL or SQL for managing structured data, enabling efficient data storage, querying, and retrieval in AI process automation workflows.

• Design, develop, and implement AI models using Python, Deep Learning, and RAG for real-time business process automation on messaging channels.
• Integrate AI solutions with various digital platforms through robust REST APIs to enable seamless business communication and engagement.
• Develop advanced NLP and LLM-based features to drive intent recognition for hyper-personalized digital journeys and responses.
• Apply ANN and CNN methodologies to solve business challenges across multiple industries such as banking, retail, healthcare, and logistics.
• Conduct rigorous model training, validation, tuning, and performance monitoring to maintain high accuracy and reliability in production environments.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable AI solutions.
• Work with data engineers to ensure high-quality and relevant datasets for model development and optimization.
• Document AI systems, algorithms, and processes, ensuring clear knowledge transfer and maintaining best practices in code repositories and project management tools.

Expertia AI Technologies