Data Scientist

• Build and productionize Generative AI applications for customer service and contact center use cases
• Develop solutions for customer comment and complaint classification, summarization, and empathetic response generation
• Design, test, deploy, monitor, and optimize machine learning and AI pipelines
• Apply prompt engineering, LLM evaluation, classifiers, and other GenAI techniques
• Support human-in-the-loop workflows in which AI-generated responses receive human review
• Contribute to experiments involving agentic AI and alternative AI application architectures
• Collaborate with data scientists, data engineers, product partners, and other stakeholders
• Prepare and transform data for use in ML and GenAI applications
• Debug technical issues and optimize application performance
• Work within existing codebases while also developing new applications
• Apply appropriate security, privacy, and responsible AI considerations
• Communicate technical concepts and project status to technical and nontechnical audiences

Tech Breakdown

• Python - Primary development language
• Generative AI, LLMs, and prompt engineering
• Machine learning and AI pipelines
• SQL and data processing
• Azure ML and Databricks - Preferred
• MLflow, CI/CD, and model monitoring - Preferred
• Microsoft Dynamics - Preferred

Daily Responsibilities

• Hands-on development of Python-based GenAI and machine learning applications
• Design and implementation of AI pipelines and production workflows
• Data preparation, testing, deployment, monitoring, debugging, and optimization
• Collaboration with data scientists, data engineers, product partners, and business stakeholders
• Participation in technical discussions, code reviews, and solution design
• Improvement and maintenance of existing AI and machine learning codebases

• Master’s or Ph.D. degree in Data Science, Machine Learning, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline
• 5+ years of experience in data science, machine learning engineering, AI engineering, or a related field
• Strong proficiency in Python, including:
• Production-grade coding, Modularization, Testing, Debugging, Performance tuning
• Hands-on experience designing and implementing Generative AI applications
• Experience with LLMs, prompt engineering, and AI application development
• Experience developing and productionizing ML/AI pipelines, including:
• Model deployment, Orchestration, Monitoring, Optimization
• Strong understanding of statistical and machine learning techniques
• Proficiency with SQL and working with data
• Strong written and verbal communication skills
• Ability to analyze complex problems, identify solutions, and collaborate effectively across diverse teams

Desired Skills & Experience

• Experience with agentic AI and AI application architecture
• Experience with LLM-as-a-Judge or other LLM evaluation techniques
• Experience building customer-facing Generative AI applications
• Knowledge of AI guardrails, privacy, cybersecurity, and responsible AI practices
• Experience with Azure ML and/or Databricks
• Familiarity with ML lifecycle tools, including MLflow, CI/CD, and model monitoring
• Experience containerizing and deploying machine learning applications
• Experience improving existing codebases and integrating AI systems with enterprise applications
• Microsoft Dynamics experience

• Hybrid schedule: onsite Tuesday through Thursday
• Remote work on Monday and Friday
• Candidates must be available to work onsite in Fort Worth, Texas, on the first day of the assignment