Solution Architect/Lead Developer - AI & ML

Tekskills Inc.; Mumbai; On-site; INR 900,000 - 1,100,000; Full time

Job summary

Tekskills Inc. in Mumbai is seeking a lead for AI and chatbot development. You will drive the evaluation of tools, frameworks, and platforms to build advanced conversational AI solutions.

You will design and implement chatbots using ML, NLP, and Generative AI (including GPT), define best practices to ensure scalability and maintainability, and oversee API integrations with external systems for richer user journeys.

Responsibilities

• Lead the evaluation and selection of tools, frameworks, and platforms for developing conversational AI solutions.
• Design and implement conversational AI solutions that incorporate AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability
• Oversee the integration of APIs to connect chatbots with external systems (e.g., CRM systems) for enhanced functionality within bot journeys.
• Utilize NLU techniques to enhance the chatbot's ability to comprehend user intent and context, enabling personalized responses that improve user satisfaction.
• Leverage generative AI models (e.g., OpenAI's GPT) to create adaptive chatbots capable of delivering contextually relevant responses based on user interactions. This includes

Job description

Job Summary

AI , Chatbot Development

Responsibilities-

• Lead the evaluation and selection of appropriate tools, frameworks, and platforms for developing conversational AI solutions.
• Design and implement conversational AI solutions that incorporate advanced technologies such as AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability
• Oversee the integration of APIs to connect chatbots with external systems (e.g., CRM systems) for enhanced functionality within bot journeys.
• Utilize NLU techniques to enhance the chatbot's ability to comprehend user intent and context, enabling personalized responses that improve user satisfaction.
• Leverage generative AI models (e.g., OpenAI's GPT) to create adaptive chatbots capable of delivering contextually relevant responses based on user interactions. This includes