AI/ML Engineer for Conversational Systems

Responsibilities

• As a key member of our team, you will design and implement AI-powered chat interfaces and autonomous agent frameworks

• Your expertise will drive the creation of intelligent, autonomous systems for seamless and impactful user experiences

• Develop and optimize LLMs and GenAI models for scalability, efficiency, and response accuracy

• Collaborate with machine learning engineers and product managers to design and implement AI-powered chat interfaces and autonomous agent frameworks

• Design and execute experimental strategies to test new models and frameworks, perform rigorous evaluation, and improve user interaction and adaptability in chat applications

• Conduct end-to-end model lifecycle management, from data processing and model training to deployment and maintenance

• Ensure adherence to best practices in data security, privacy, and ethical AI, aligning model development with organizational values and compliance standards

Full Description

Company Overview

Forsta Inc is a leading experience measurement and data analytics provider.

We offer insights that sharpen understanding of the needs of individuals and populations, and provide guidance on how to meet those needs.

Our clients rely on us to elevate the human experiences at the heart of business.

Job Description

We are seeking a highly skilled Data Scientist to lead our research and development efforts in large language models (LLMs) and Generative AI (GenAI).

As a key member of our team, you will design and implement AI-powered chat interfaces and autonomous agent frameworks. Your expertise will drive the creation of intelligent, autonomous systems for seamless and impactful user experiences.

Responsibilities

• Develop and optimize LLMs and GenAI models for scalability, efficiency, and response accuracy.

• Collaborate with machine learning engineers and product managers to design and implement AI-powered chat interfaces and autonomous agent frameworks.

• Design and execute experimental strategies to test new models and frameworks, perform rigorous evaluation, and improve user interaction and adaptability in chat applications.

• Conduct end-to-end model lifecycle management, from data processing and model training to deployment and maintenance.

• Ensure adherence to best practices in data security, privacy, and ethical AI, aligning model development with organizational values and compliance standards.