Job Description Summary

Position Objective:

Associate Data Science to work with the existing Data Science team to develop model and analyze data.

Position Responsibilities:

Production LLM Tools & Agentic Workflows

• Build and maintain LLM-powered tools and applications in production environments
• Design, develop, and iterate on agentic workflows that orchestrate multi-step reasoning, tool use, and decision-making
• Implement and maintain RAG pipelines, prompt management systems, and evaluation frameworks
• Monitor LLM application performance, cost, latency, and output quality in production
• Develop guardrails, safety checks, and structured output validation for deployed AI systems

Model Production & MLOps

• Deploy, monitor, and maintain ML models in production using CI/CD pipelines
• Track data drift, model degradation, and trigger retraining workflows as needed
• Build and maintain feature pipelines, model registries, and experiment tracking infrastructure
• Optimize model inference for cost and performance (batching, caching, model selection)
• Write tests and documentation for production ML systems

Data Science & Analysis

• Analyze usage patterns, model performance metrics, and business impact of deployed AI tools
• Run experiments to evaluate new models, prompts, and agent architectures
• Collaborate with stakeholders to translate business needs into data-driven AI solutions

Requirements:

Education & Experience:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
• 1-3 years of experience in data science, ML engineering, or a related role (including internships)
• Proficiency in Python and SQL
• Hands-on experience with LLMs (OpenAI, Anthropic, open-source models) and prompt engineering
• Familiarity with at least one agentic AI framework (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar)
• Experience deploying models or applications to production (cloud platforms, Docker, APIs)
• Understanding of core ML concepts: model training, evaluation, versioning, and monitoring

Physical Demands:

Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind, or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt's safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.

The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.

Base Pay Range: $85,680.00 - 117,810.00

Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Please visit https://www.sunbeltrentals.com/careers/ for more information on our benefits and to join our Talent Network.

Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:

• Health, Dental and Vision plans
• 401(k) Match
• Volunteer time off
• Short-term and long-term disability
• Accident, Life and Travel insurance, as well as flexible spending
• Tuition Reimbursement Options
• Employee Assistance Program (EAP)
• Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt's policies (unless specified in a collective bargaining agreement):

• 12-25 vacation days depending on years of service
• 5 sick days
• 6 holidays
• 2 half day holidays
• 2 floating holidays
• 1 inclusion day
• 1 volunteer day

Gear up for an exciting career!

Sunbelt Rentals supports service members. Veterans encouraged to apply.