Senior Data Scientist

RealPage•Richardson, TX

2d•Remote

About The Position

Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage’s existing systems with GenAI capabilities. Contribute to RealPage’s AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients. Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences. Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots. Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs. Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions. Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements.

Requirements

The position requires a Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field and five (5) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation.
Alternately, will accept a Master’s degree in Computer Science, Machine Learning, Data Science, or a related field and three (3) years of experience in the job offered or as a Data Analyst, Software Developer, or an acceptable alternate occupation.
The position requires knowledge and experience with the following skills: Python and SQL
Writing production-grade code
Cloud platforms for AI, such as AWS SageMaker, GCP, AI, or Azure ML
Containerization, such as Docker
Orchestration, such as Kubernetes; CI/CD practices
MLOps frameworks
Experience leading projects and mentoring team members in Agile environments, driving collaboration, and fostering team effectiveness
Machine Learning, Deep Learning, Natural Language Processing
Transformers, Recurrent Neural Network (RNN) models, and Long Short-Term Memory (LSTM) models
LangChain, LLMs, Vector Embeddings, and RAG applications
Prompt Engineering

Responsibilities

Support the GenAI Center of Excellence team, which drives innovation by building new generative AI applications and enhancing RealPage’s existing systems with GenAI capabilities.
Contribute to RealPage’s AI go-to-market strategy, by creating cutting-edge solutions that empower our users and clients.
Lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space.
Fine-tune pre-trained foundation models, apply prompt-engineering and RAG techniques, utilize agentic frameworks, and work closely with product and engineering teams to create impactful AI solutions that support business objectives and transform user experiences.
Evaluate and utilize appropriate generative models, such as GPT-4, LLaMA, Gemini, or Claude, to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics, and copilots.
Assess and utilize AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and agentic frameworks based on project needs.
Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions.
Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models.
Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes.
Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness.
Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes.
Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts to create integrated GenAI solutions.
Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvements.