AIML Architect

Roles & Responsibilities:

•Experiment and Develop: You will drive the end to end machine learning project lifecycle using best practices and well managed software delivery

•Lead the design and development of virtual assistants using Conversational AI platforms •Leads efforts to foster innovative ideas for developing high impact solutions.

•Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities.

•Participate in discussions with business stakeholders to identify business challenges that can be solved with AI/ML.

•Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.

•Support and advise teams on best practices regarding LLM usage and

GenAI technologies. Specifically geared towards NLP use cases.

•Lead complex and technically challenging projects from concept to completion

•Mainly in the Area of AIOps - Clustering, classification, Anomaly detection, capacity prediction •Understand the requirements and design the conversational flows.

•Develop Intent and Entities for chatbot.