Sr Machine Learning Engineer – REMOTE

Job title: Sr Machine Learning Engineer – REMOTE

Company: RealPage

Job description: Description :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 Vector embeddings, RAG architectures and Agentic frameworks for sophisticated GenAI applications.
• Expertise in cloud platforms for AI (AWS SageMaker, GCP AI, Azure ML) and experience with containerization (Docker), orchestration (Kubernetes), and CI/CD practices.
• 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. #LI-JL1 #LI-REMOTE

Expected salary:

Location: Richardson, TX

Job date: Sat, 08 Feb 2025 02:49:55 GMT

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