onsite
US LBM AI Engineer - US LBM Holdings
AI Engineer
We're looking for an AI Engineer focused on designing and building scalable technical solutions. This mid level role requires 3+ years of relevant experience.
About the role
- 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.
- 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.
- Bachelor's Degree or Master's degree in AI, Data Science, Computer Science, Statistics,Mathematics, or a related field.
- 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.
- 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.