Our company

At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers and our customers' customers to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You'll Do

• Serve as an AI/ML Engineer contributing to innovation initiatives in the Generative AI space.
• Conduct experiments with Large Language Models (LLMs), analyzing their capabilities and applications for Teradata's technology stack.
• Research, identify, and evaluate off-the-shelf, open-source, or self-hosted LLMs for testing and optimization.
• Develop and implement machine learning pipelines to measure and capture model performance metrics.
• Assess the cost-benefit implications of deploying different LLM modalities and make strategic recommendations.
• Collaborate with senior researchers to share findings and shape technical strategies within the organization.
• Are part of the Advance Research team, focused on solving complex information integration challenges through cutting-edge technology.
• Partner across the organization to gather insights from customers and stakeholders, prototype new technologies, and evangelize advanced analytics.
• Focus specifically on Generative AI initiatives within the Data Science team, driving forward-thinking strategies.

Who You Will Work With

You will report directly to the team leading Generative AI efforts, working collaboratively to advance Teradata's AI capabilities.

What Makes You a Qualified Candidate

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python, SQL, and familiarity with C++.
• Extensive experience with machine learning libraries and deep learning frameworks such as scikit-learn, MLflow, TensorFlow, or PyTorch.
• Proficiency in working with public cloud service providers (CSPs) like AWS, Azure, or Google Cloud.
• Demonstrated expertise in fine-tuning Large Language Models or other foundation models.

What You'll Bring

• Experience with Jupyter Notebooks for experimentation and analysis.
• Strong verbal communication and technical writing skills to convey insights to diverse audiences.
• A track record of exploratory experimentation and applying innovative solutions to real-world challenges.
• A deep understanding of AI/ML model evaluation and deployment strategies.
• A passion for advancing state-of-the-art technologies in the AI/ML space.

Pay Rate: $128,900.00 - $161,200.00 - $193,400.00 Annually

Why we think you will love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are

#LI-SK1