AI Engineer | Recommendation Systems, Predictive Analytics

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About the Role

AI Engineer

Key Responsibilities

• Design and implement AI-driven solutions for property recommendations, pricing models, tenant screening, and predictive maintenance.
• Develop, train, and deploy machine learning models at scale using Python, TensorFlow, PyTorch, or similar frameworks.
• Build intelligent recommendation engines using user behavior, property features, and contextual data.
• Collaborate with data engineers to ensure clean, high-quality datasets for model training and evaluation.
• Optimize ML pipelines for performance, scalability, and low latency.
• Work closely with product, design, and engineering teams to translate business needs into AI-powered features.
• Monitor model performance and iterate to improve accuracy, fairness, and relevance.
• Maintain best practices for reproducibility, version control, and documentation of models and experiments.

Requirements – Technical Skills

• 3+ years of experience building and deploying machine learning models in production.
• Strong background in recommendation systems, predictive analytics, or deep learning.
• Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
• Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, SageMaker, Vertex AI, etc.).
• Solid understanding of statistics, feature engineering, model evaluation, and algorithm selection.
• Familiarity with data structures, RESTful APIs, and containerization (Docker/Kubernetes).
• Bonus: Experience with graph-based models or NLP for property-related applications.

Requirements – Collaboration & Communication

• Ability to work independently in a remote team environment.
• Strong written and verbal communication skills.
• Clear documentation and ability to explain technical concepts to non-technical stakeholders.

Nice to Have

• Experience in PropTech or real estate tech platforms.
• Exposure to computer vision models (e.g., for floor plan or image analysis).
• Contributions to open-source AI/ML projects.
• Understanding of data privacy and ethical AI principles.

What We Offer

• Competitive salary and performance bonuses
• Flexible working hours and a fully remote team
• Opportunity to innovate in a high-impact industry
• Annual learning & development budget
• A fast-paced, collaborative, and mission-driven culture