RealPage, Inc.
Senior ML Engineer - Generative AI
RealPage, Inc., Richardson, Texas, United States, 75080
RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the PropTech domain. Our Gen AI Center of Excellence is a dynamic team focused on driving innovation by building new generative AI applications and enhancing existing systems with GenAI capabilities. As part of our team, you’ll contribute to RealPage’s AI go-to-market (GTM) strategy, creating cutting-edge solutions that empower our users and clients.
We are seeking a Senior Machine Learning Engineer specializing in Generative AI to lead the development, deployment, and scaling of advanced AI models that address real-world challenges in the PropTech space. In this role, you will 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 our business objectives and transform user experiences.
PRIMARY RESPONSIBILITIES
Generative AI Product Development:
Evaluate and utilize appropriate generative models (e.g., GPT-4, LLaMA, Gemini, Claude) to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics and copilots. Assess and utilize appropriate AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and Agentic frameworks based on project needs. Master Prompt Engineering:
Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Data Pipeline Development:
Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Establish Evaluation Frameworks:
Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Leadership and Mentorship:
Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Stakeholder Communication:
Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Cross-Functional Collaboration:
Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts, to create integrated GenAI solutions. Stay Current in AI Advancements:
Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvement. Understand Business Needs:
Cultivate a growth mindset, build an understanding of RealPage’s business processes, products, and challenges to better align AI solutions with organizational goals. REQUIRED KNOWLEDGE/SKILLS/ABILITIES Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent industry experience. 5+ years in ML engineering and/or Data Science, with at least 2 years in Generative AI, transformers, and large language models (LLMs). Strong proficiency in Python and SQL, experience in writing production-grade code. Proficiency in prompt engineering to enhance model output reliability and quality. Familiarity with LLMs, Vector embeddings, RAG architectures and Agentic frameworks for sophisticated GenAI applications. Working knowledge of Agentic frameworks like LangGraph, AutoGen, etc. is a huge plus. Expertise in cloud platforms for AI (AWS SageMaker, GCP AI, Azure ML) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices. Familiarity with MLOps frameworks. Demonstrated ability to lead projects and mentor team members in Agile environments, driving collaboration and fostering team effectiveness. Exceptional communication skills to effectively convey complex technical subjects to both technical and non-technical stakeholders.
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Evaluate and utilize appropriate generative models (e.g., GPT-4, LLaMA, Gemini, Claude) to develop Gen AI applications such as text generation, summarization, conversational assistants, OCR, generative analytics and copilots. Assess and utilize appropriate AI tools, LLMs, vector databases, RAG (Retrieval-Augmented Generation) solutions, and Agentic frameworks based on project needs. Master Prompt Engineering:
Design effective prompts to minimize hallucinations, anticipate and resolve edge cases, and ensure the robustness of generative AI solutions. Data Pipeline Development:
Construct data preprocessing and cleansing pipelines, ensuring high-quality, scalable data suitable for training and testing AI models. Establish Evaluation Frameworks:
Develop and maintain frameworks to validate and measure LLM performance, testing models across a range of capabilities and edge cases for optimal outcomes. Leadership and Mentorship:
Provide technical leadership and mentorship to ML engineers and Data Scientists fostering a collaborative team environment and improving overall team effectiveness. Stakeholder Communication:
Translate complex ML and Gen AI concepts into clear terms for technical and non-technical stakeholders, ensuring alignment on project goals and expected outcomes. Cross-Functional Collaboration:
Work with interdisciplinary teams, including AI engineers, software engineers, product managers, and domain experts, to create integrated GenAI solutions. Stay Current in AI Advancements:
Track the latest AI research, tools, and trends, and adopt innovative approaches to continuously enhance project outcomes and drive improvement. Understand Business Needs:
Cultivate a growth mindset, build an understanding of RealPage’s business processes, products, and challenges to better align AI solutions with organizational goals. REQUIRED KNOWLEDGE/SKILLS/ABILITIES Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, or equivalent industry experience. 5+ years in ML engineering and/or Data Science, with at least 2 years in Generative AI, transformers, and large language models (LLMs). Strong proficiency in Python and SQL, experience in writing production-grade code. Proficiency in prompt engineering to enhance model output reliability and quality. Familiarity with LLMs, Vector embeddings, RAG architectures and Agentic frameworks for sophisticated GenAI applications. Working knowledge of Agentic frameworks like LangGraph, AutoGen, etc. is a huge plus. Expertise in cloud platforms for AI (AWS SageMaker, GCP AI, Azure ML) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices. Familiarity with MLOps frameworks. Demonstrated ability to lead projects and mentor team members in Agile environments, driving collaboration and fostering team effectiveness. Exceptional communication skills to effectively convey complex technical subjects to both technical and non-technical stakeholders.
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