Generative AI Architect

Qualifications

• Master's degree in Computer Science, Statistics, Mathematics, or a related field required
• Proven experience as a Data Scientist or Machine Learning Engineer with experience in deploying Generative AI-based solutions
• Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine-tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc

Responsibilities

• In this role, you will be responsible for designing, developing, and implementing cutting-edge generative models, driving innovation, and providing technical leadership to a team of data scientists
• Design and develop generative AI models for various applications with a focus on text generation and semantic entity extraction
• Collaborate with stakeholders to identify business needs and define project scopes
• Mentor junior data scientists/interns and provide guidance on best practices and industry standards
• Stay up-to-date with the latest research and advancements in Generative AI and related fields

Full Description

We are seeking a talented Senior Data Scientist with expertise in Generative AI to lead our team. In this role, you will be responsible for designing, developing, and implementing cutting-edge generative models, driving innovation, and providing technical leadership to a team of data scientists.

• Key Responsibilities:*

• Design and develop generative AI models for various applications with a focus on text generation and semantic entity extraction.

• Collaborate with stakeholders to identify business needs and define project scopes.

• Mentor junior data scientists/interns and provide guidance on best practices and industry standards.

• Stay up-to-date with the latest research and advancements in Generative AI and related fields.

• Requirements:*

• Master's degree in Computer Science, Statistics, Mathematics, or a related field required.

• Proven experience as a Data Scientist or Machine Learning Engineer with experience in deploying Generative AI-based solutions.

• Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine-tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.