美国LBM AI工程师
US LBM AI Engineer
US LBM 是美国领先的、增长最快的特种建筑建材分销商之一，拥有遍布全国的 13,000 多名员工。自 2009 年成立以来，我们已收购了 100 多家公司，并扩展到覆盖 37 个州的 450 多个地点。US LBM 是一家注重进步的组织，倡导一种独特的文化，关注客户和员工的价值。培养人才是我们的战略关键，也是我们赋权文化的基石。
简介
US LBM AI 工程师将推动 US LBM 的各项计划，并提供有意义的洞察以实现业务价值。作为 US LBM 企业数据与分析团队的一员，你将帮助在我们的业务中培育数据驱动决策的文化。从业务分析到需求规划，再到定价优化和采购决策，分析团队将利用我们丰富的数据资产和能力来支持 US LBM 的重要决策。作为 US LBM 的 AI 工程师，你将运用你的分析技能和 AI 与数据科学的专业知识，帮助销售、定价、优化供应链、改进库存管理、物流、增强客户洞察力，并支持战略业务决策。你将与包括运营、财务、销售和供应链在内的跨职能团队紧密合作，将数据转化为可操作的见解。
你将负责
- 与业务相关方合作，收集需求并将其转化为 IT 对应方的技术规范和流程文档。
- 进行探索性数据分析，识别数据中的模式、异常和关系。
- 应用统计技术测试假设并验证模型。
- 开发和训练机器学习模型，解决特定的业务问题（例如分类、回归、聚类等）。
- 构建预测模型，预测未来趋势，如需求预测、客户行为预测、产品推荐等。
- 将大语言模型（LLM）集成到现有的数据流水线和业务流程中。
- 开发定制算法和工具，解决特定的业务挑战。
- 跟踪数据科学、机器学习和人工智能领域的最新进展。
- 尝试新的技术和方法，以增强分析能力
- 图像与文档处理 - 构建计算机视觉模型、OCR 和解析技术
查看英文原文
US LBM is one of the leading and fastest growing distributors of specialty building materials in the United States, with a team of over 13,000 employees located throughout the country. Since our founding in 2009, we have acquired over 100 companies and have expanded to more than 450 locations serving 37 states. US LBM is a progressive organization that promotes a unique culture that focuses on the value of its customers and associates. Developing our people is critical to our strategy and fostering our culture of empowerment.
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A Brief Overview
The US LBM AI Engineer will help drive US LBM's initiatives and provide meaningful insight to deliver business value. As a member of the US LBM Enterprise Data and Analytics team, you help cultivate the culture of data-driven decision-making across our business. From business analytics to demand planning to pricing optimization to purchasing decisions, the Analytics team brings the power of our extensive data assets and capabilities to bear on US LBM's important decisions. As an AI Engineer at US LBM, you will leverage your analytical skills and expertise in AI & data science to help with sales, pricing, optimize supply chain, improve inventory management, logistics, enhance customer insights, and support strategic business decisions. You will work closely with cross-functional teams, including operations, finance, sales, and supply chain to turn data into actionable insights.
What you will do
- Partner with business stakeholders to gather requirements and translate them into technical specifications and process documentation for IT counterparts.
- Conduct exploratory data analysis to identify patterns, anomalies, and relationships within the data.
- Apply statistical techniques to test hypotheses and validate models.
- Develop and train machine learning models to solve specific business problems (e.g., classification, regression, clustering etc.).
- Build predictive models to forecast future trends, such as demand forecasting, customer behavior prediction, product recommendation etc.
- Integrate LLMs into existing data pipelines and business processes.
- Develop custom algorithms and tools to address specific business challenges.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Experiment with new techniques and technologies to enhance analytical capabilities
- Image & Document Processing - Build computer vision models, OCR, and parsing techniques for images and PDFs. Train object detection models (YOLO, MMDetection).
- LLM-Based Component Extraction - Use Large Language Models (LLMs) to interpret extracted data. Develop prompt engineering strategies.
- Data Engineering & Integration - Develop scalable pipelines for image processing and CRM integration. Implement APIs and microservices for real-time data exchange.
- Sales Forecasting (Future Scope) - Create predictive models for sales trends and pricing using time-series and ML. Optimize models for accuracy, speed, and scalability; ensure robust validation.
Required For All Jobs
- Perform other duties as assigned.
- Comply with all policies and standards.
- Adhere to Company’s commitment to workplace safety.
- Participate in and complete assigned trainings.
Education Qualifications
· Bachelor's Degree or Master’s degree in AI, Data Science, Computer Science, Statistics,Mathematics, or a related field.
Experience Qualifications
- 3+ years of experience working in Data science/AI roles.
- Working knowledge of large data set manipulation using SQL.
- Hands-on experience with state-of-the-art LLMs such as GPT-3, GPT-4, BERT, T5, etc.
Skills and Abilities
- Python, SQL, Pandas, NumPy; Computer Vision (OpenCV, TensorFlow, PyTorch).
- Experience with OCR tools (Tesseract, AWS Textract, Google Vision API), document layout is a plus.
- Object detection (YOLO, MMDetection, Faster R-CNN, Detectron2) models.
- API development and microservices architecture (FastAPI/Flask) and async processing.
- Prompt engineering and experience with any of LlamaIndex, LangChain/LangGraph, Google ADK, PydanticAI.
- Exposure to reporting tools using Tableau.
- Machine Learning - Experience in Supervised/unsupervised learning; time-series forecasting is a plus.
- Deployment & Infrastructure - AWS/Azure/GCP; Docker, Kubernetes; Torch Serve/TensorFlow Serving; ONNX Runtime.
- Preferred Technology - CI/CD pipelines, Git; REST APIs; PostgreSQL/MySQL for metadata storage.
- Strong problem-solving, analytical thinking, and communication.
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Click Here for Information Regarding Our Benefits
US LBM Holdings, LLC, is an equal-opportunity employer. We do not discriminate on the basis of race, color, religion, creed, national origin or ancestry, sex, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, marital status, military status, order of protection status, or any other legally recognized protected basis under federal, state, or local law.
Originally posted on Himalayas