RoomPriceGenie is seeking a talented Remote Senior Data Engineer with expertise in AI/ML to develop scalable data architectures that power dynamic pricing algorithms for the hospitality sector. Collaborate with cross-functional teams to transform raw data into actionable insights, driving revenue optimization and innovation.

RoomPriceGenie is revolutionizing the hospitality industry with AI-driven pricing solutions that help hotels and accommodations maximize revenue through intelligent, data-backed strategies. As a Remote Senior Data Engineer (AI/ML), you will play a pivotal role in designing, building, and maintaining robust data infrastructure that supports our machine learning models and analytics platforms.

Your responsibilities will include architecting scalable data pipelines to ingest, process, and analyze vast datasets from various sources, ensuring data quality and availability for AI/ML applications. You will collaborate closely with data scientists, product managers, and software engineers to integrate ML models into production environments, optimizing for performance and efficiency.

Key challenges you'll tackle involve handling real-time data streams for dynamic pricing adjustments, implementing advanced feature engineering for predictive models, and ensuring compliance with data privacy regulations like GDPR. This role offers the opportunity to innovate in a fast-paced startup environment while contributing to products that directly impact global hospitality operations.

If you are passionate about leveraging AI/ML to solve real-world problems and thrive in a remote, results-oriented culture, RoomPriceGenie is the perfect place to advance your career.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering, with a strong focus on AI/ML pipelines
• Proficiency in Python, SQL, and big data technologies such as Apache Spark, Hadoop, or Kafka
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn
• Expertise in cloud platforms (AWS, GCP, or Azure) and ETL processes
• Strong understanding of data warehousing, streaming data, and real-time processing
• Excellent problem-solving skills and ability to work independently in a remote environment
• Experience with version control (Git) and CI/CD pipelines

• Competitive monthly salary with performance bonuses
• Fully remote work setup with flexible hours
• Comprehensive health insurance and wellness programs
• Professional development opportunities, including conferences and certifications
• Generous paid time off and parental leave
• Access to cutting-edge tools and technologies
• Collaborative and inclusive company culture
• Stock options and employee referral programs