About this opportunity
Motion Recruitment lists this Senior Data Scientist opportunity in fort worth, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Leverage Generative AI and machine learning to improve customer experiences at a Fortune 500 transportation company
Join a collaborative, high-performing ML/AI team supporting Contact Center and Digital Customer Experience initiatives. This role will focus on designing, developing, testing, and productionizing GenAI applications, including customer comment and complaint classification, interaction summarization, and tailored customer response generation. The ideal candidate is a hands-on technologist who can take AI solutions from prototype through deployment while improving existing codebases and delivering scalable, production-ready systems.
Contract Duration: Long term
Work Arrangement
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
Required Skills & Experience
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
What You Will Be Doing
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
Posted By: Jay Aguiar
#J-18808-Ljbffr
Worksite address
fort worth, TX, 76102, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.