Senior ML Data Platform Engineer

Summary

Join Luxury Presence as a Senior ML-focused Data Platform Engineer and contribute to building robust data pipelines and advanced ML solutions. You will work on projects such as autonomous MLS AI agents, evaluation and monitoring systems, and shared ML/data infrastructure. Your expertise will power property discovery, personalized recommendations, and conversational agents. The role involves architecting and operating scalable data systems, ensuring data quality and reliability, designing data models, fine-tuning ML models, integrating LLMs, and evolving the evaluation stack. You will collaborate with various stakeholders and mentor peers. This position offers the opportunity to shape the long-term ML data-platform strategy for a leading real estate technology company.

Requirements

• BS/MS in Computer Science or related field, or equivalent experience
• 5+ years building large-scale data pipelines on AWS or GCP with Spark/EMR, Kafka, and SQL
• Strong with a backend programming language like Python or Java; production experience with TensorFlow or PyTorch
• Delivered ML-powered features in recommendations, search/ranking, or conversational AI
• Hands-on with embeddings, RAG, and reinforcement learning from feedback
• Familiar with vector databases, LLM deployment, Kubernetes/EKS, and modern CI/CD
• Excellent communicator who drives results across product, engineering, and business teams

Responsibilities

• Architect and operate scalable batch & streaming data systems (Spark/EMR, Kafka, SQL)
• Own data quality, performance, and reliability through automated testing and monitoring
• Design transactional and analytical data models and feature stores
• Fine-tune embeddings and ML models; deploy RAG‐ and RL-based ranking pipelines
• Integrate and optimize LLMs for conversational agents
• Evolve the evaluation stack (A/B, offline metrics, model monitoring) to track impact end-to-end
• Collaborate with product, engineering, and business stakeholders; mentor peers; shape the long-term ML data-platform strategy

Preferred Qualifications

• Proven wins building large-scale ranking or personalization platforms
• Experience with integrating Large Language Models in production systems
• Experience leading projects and mentoring engineers
• Proven success working in Agile environments