Data Scientist - Information Technology

About the role

In this position, you will focus on enhancing Large Language Models (LLMs), utilizing reinforcement learning methods, and creating multi-agent systems. Your contributions will also involve using Generative AI for effective data retrieval and visualization, enabling insights driven by natural language and supporting informed decision-making.

Key facts

What you'll do

• Develop and implement AI agents and tools for workflow automation.
• Design and execute reinforcement learning algorithms and multi-agent systems to address intricate business problems.
• Create Generative AI solutions for efficient data retrieval and visualization.
• Collaborate with teams across Data Engineering, Product, and Infrastructure to ensure secure and efficient AI deployments.
• Stay informed about advancements in AI research and apply best practices to create innovative solutions aligned with business needs.

Requirements

• A Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 2 years of experience in AI/ML development.
• Practical experience in fine-tuning LLMs, reinforcement learning, multi-agent systems, and generative AI applications.
• Proficiency in Python and familiarity with contemporary AI frameworks and cloud services, preferably Microsoft Azure.
• Experience in operationalizing AI models using MLOps methodologies.
• Strong analytical skills with the ability to convert complex technical information into practical insights.
• Excellent communication and teamwork abilities for effective collaboration in cross-functional teams.

Nice to have

• Experience with cloud platforms beyond Microsoft Azure.

Skills & tools

• Python
• AI frameworks
• Cloud platforms (preferably Microsoft Azure)
• MLOps practices

Practical notes

Candidates must be authorized to work in the United States without requiring visa sponsorship now or in the future. This is a hybrid role requiring in-office work at the Plano, TX location at least three days a week.