Real

Senior Machine Learning Engineer

Real
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5 months ago
Remote, IndiaSenior

Responsibilities

  • Design, develop, and deploy LLM-powered and generative AI systems for real estate operations, customer experience, and product innovation.
  • Build and optimize agentic pipelines with orchestration, tool integration, and feedback loops.
  • Partner with operations, marketing, and product teams to identify and prioritize AI and LLM opportunities.
  • Architect and maintain scalable production AI systems using Python, cloud platforms, and orchestration tools.
  • Implement event-driven and asynchronous architectures for high-performance AI applications.
  • Apply prompt engineering and LLM fine-tuning approaches where appropriate.
  • Troubleshoot, optimize, and refine AI systems for production performance, reliability, and scalability.
  • Document systems, processes, and results and communicate progress to stakeholders.

Requirements

  • At least five years of experience in AI/ML, preferably with exposure to generative AI or LLM-based systems.
  • At least two years of experience working with Python in production environments.
  • Bachelor’s degree in technology or a related field.
  • Strong Python programming skills and experience building and deploying production-grade systems.
  • Experience with generative AI, LLM-based applications, agentic workflows, orchestration frameworks, and multi-step AI pipelines.
  • Understanding of scalable system design, model deployment strategies, asynchronous processing, event-driven systems, and distributed architectures.
  • Experience with containerization and cloud platforms.
  • Strong problem-solving, communication, adaptability, and stakeholder collaboration skills.
  • Experience managing multiple projects and meeting deadlines.

Benefits

  • Remote position in India
  • Work schedule is 2:30 PM to 11:30 PM IST
  • Position is open to Indian citizens only
  • Equal opportunity workplace

Tech Stack

Categories

Real

About Real

5,001-10,000 employees

Real is a publicly traded, technology-driven residential real estate brokerage that provides a cloud-based platform and mobile tools for agents. The company earns brokerage commissions and fees while offering agents revenue sharing, equity programs, and favorable commission splits. Founded in 2014 and headquartered in New York, it operates across much of the U.S. and Canada and trades on Nasdaq under the ticker REAX.

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