Company Description The Client is the leading hospitality provider, specializing in the management and operation of upscale hotels, high-end residential projects, luxury casinos, renowned restaurants, and other leisure facilities. Project Description We are seeking a skilled professional to develop and deploy machine learning models that optimize operations, enhance customer experience, and generate actionable business insights across the client’s hospitality and leisure portfolio. Requirments * Python & Frameworks: Proficiency in Python with experience using Pandas, PySpark, Scikit-learn, XGBoost, LightGBM or PyTorch. * ETL & Data Pipelines: Experience in designing and maintaining data pipelines. Understanding of early-stage planning, defining business requirements, and architecture design before implementation. * Cloud & Infrastructure: Strong experience with AWS or Azure and related tools such as MS Fabric. Flexibility in adapting to different cloud environments and tools. * Visualization & BI Tools: Skills in Power BI dashboard design and optimization ensuring usability for non-technical users (naming conventions, axis labeling, visual clarity, and data validation). * Machine Learning: Understanding of the entire ML lifecycle — from data preprocessing to model training and deployment. Experience with predictive modeling across multiple domains. Confidence in using gradient boosting models and neural networks when appropriate. * LLM & AI Integration: Practical exposure to integrating large language models (LLMs). Understanding the fine-tuning process, data preparation in JSONL format, and collaboration with domain experts. * Monitoring & Maintenance: Understanding of operational monitoring, alerting systems, and debugging data inconsistencies. * BA or MS in Statistics, Mathematics, Computer Science, or similar field. * Business acumen with proven ability to understand, analyze and problem solve business goals in detail. * Advanced English (both written and spoken).
Duties and responsibilities Data Engineering and Integration * Design, develop, and maintain data pipelines. * Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse. * Ensure data integrity, scalability, and performance optimization.
Analytics & Reporting * Develop and optimize complex SQL queries to support analytics and reporting. * Build and maintain datasets and semantic models for Power BI. * Design, implement, and modify advanced Power BI visualizations and dashboards. * Partner with stakeholders to deliver accurate and actionable insights.
AI & LLM Development * Develop, fine-tune, and maintain large language models for enterprise use cases. * Integrate LLM solutions with data assets and reporting environments. * Monitor and retrain models as required to maintain performance.
Working conditions * Mon — Fri, 9am — 6pm Ukrainian time. * Full-time, 6 months with possible extension up to 12 months.
