Conversational AI Architect/Technical Lead

Description :

As a Manager in our CS&D Team youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations

Location : Delhi

Overall Experience : 8-12 years

Level : Manager

Role : Conversational AI Architect / Tech Lead

Job Description :

We are seeking a skilled and motivated Conversational AI (CAI) Architect to join our team. As an Architect/tech lead, you will be responsible for developing and implementing state-of-the-art tools using large language models and Python. You will play a crucial role in advancing our AI capabilities, driving innovation, and solving complex problems using generative AI techniques. The ideal candidate has a strong background in Python programming, Conversational AI Bots, and extensive experience working with large language models.

Responsibility :

- Design/Develop/implement Conversational AI Bots/Self Service using large language models

- Collaborate with cross-functional teams, including data scientists, machine learning engineers, and AI developers, to integrate generative models into various applications and platforms.

- Train and fine-tune large language models for specific tasks or domains by leveraging transfer learning and domain adaptation techniques.

- Stay up to date with the latest advancements in CAI, Gen AI, Voice AI and contribute to knowledge sharing within the team.

- Document research findings, methodologies, and implementation details for future reference and knowledge transfer.

- Assist in mentoring and guiding junior team members

- Research, design, and experiment with generative AI techniques to improve model performance and output quality.

Requirements :

- Proven experience with minimum two of these chatbot platform. i.e. MS Copilot/AWS Lex/ Kore.AI/Google Dialogflow/RASA

- Solid understanding of NLP, GenAI/LLMs, Computer Vision, OCR, Generative BI, NL2SQL, RAG concepts.

- Proficiency in programming languages such as Python C#.net/Node.js.

- Experience in integrating chatbots with enterprise systems and third-party APIs.

- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

- Strong problem-solving and analytical skills.

- Excellent communication and collaboration abilities.

- Strong proficiency in Python programming and experience with deep learning frameworks such as TensorFlow or PyTorch.

- Familiarity with transfer learning and pre-training techniques for large language models.

- Design and develop RESTful APIs using Python and FastAPI.

- Develop and optimize prompts for various natural language processing tasks using few-shot, one-shot, and zero-shot learning techniques.

- Understanding of Microsoft Azure services such as Azure Functions, Azure Storage, Azure Cosmos DB, and Azure Machine Learning

- Work with vector databases like ChromaDB and Elasticsearch to power Retrieval Augmented Generation (RAG).

- Working knowledge of SQL and non-SQL Databases

- Bachelor's or master's degree in computer science, Engineering, or a related field.