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About the Role
We are seeking a sophisticated AI Data Analyst to serve as the architect of intelligence for our ecosystem. You will be responsible for managing our comprehensive Data Lake, transforming raw telemetry from smart home devices and robotic integrations into actionable intelligence. Your mission is to move beyond “reactive” automation. You will build the data pipelines and machine learning models that allow our Agentic Interfaces to anticipate user needs, recognise patterns of life, and provide a truly predictive, personalised experience. You will be the bridge between raw IoT data and the “brain” of our autonomous systems.
Responsibilities
- Architect and maintain a high-performance Data Lake to ingest, store, and process massive streams of event data from smart home devices, sensors, and robotic units.
- Design robust ETL/ELT pipelines to ensure data integrity, low-latency availability, and high-quality inputs for model training.
- Implement advanced Data Vectorization and Chunking strategies to prepare unstructured data for RAG (Retrieval-Augmented Generation) and long-term agent memory.
- Develop and deploy Machine Learning models to identify behavioural patterns (e.g., user routines, occupancy trends, and environmental preferences).
- Conduct Inference Training to refine how our agents “reason” about user journeys, moving from simple triggers to complex anticipatory actions.
- Perform deep-dive Event Analysis to identify anomalies, optimise system performance, and improve the reliability of autonomous robot behaviours.
- Build the logic that powers Predictive Automation: ensuring the home doesn’t just react to a command, but anticipates the user’s next move.
- Develop “User Journey” models that allow our Agentic Interfaces to provide proactive assistance (e.g., preparing a meeting room before the user arrives or adjusting home climate based on predicted activity).
- Collaborate with the Robotics and AI Engineering teams to feed personalised “profiles” into the agentic workflows.
- Create internal dashboards to monitor the “health” of our intelligence, tracking model accuracy, prediction success rates, and data flow bottlenecks.
- Translate complex data findings into actionable product insights for the engineering and design teams.
Requirements
- SQL
- Python (Expert)
- Spark/Flink
- Data Lake Architecture
- Scikit-learn
- PyTorch/TensorFlow
- Inference Optimisation
- Reinforcement Learning (basics)
- Pinecone, ChromaDB, or Weaviate (experience with Vectorization & Chunking)
- DuckDB
- Apache Parquet
- Pandas
- NumPy
- LangChain/LangGraph (for RAG data prep)
- OpenAI API
- Ollama
- MQTT
- Home Assistant Data Exports
- Time-Series Analysis
- Probability
- Statistics
- Linear Algebra (for model training)
- A degree in Data Science, Computer Science, or a related quantitative field.
- Proven experience building models that predict human behaviour or time-series events.
- Deep understanding of how to chunk and vectorise data for Large Language Models (LLMs).
- An understanding of how “Agents” differ from standard “Automations”, focusing on reasoning and planning rather than just If/Then logic.
- Demonstrate a project involving time-series prediction, a custom RAG pipeline, or a complex data visualisation of IoT telemetry.
- Thinks about how to scale data ingestion from 10 homes to 10,000.
- Strong understanding of data privacy and how to anonymise/secure sensitive user telemetry while still maintaining high-utility data for ML training.
Skills
- Python
- SQL
- Data Lake
- Machine Learning
- Predictive Modeling
- RAG
- Vector Databases
- Time-Series Analysis
- Spark
- Flink
- ETL/ELT
- PyTorch
- TensorFlow
- Scikit-learn
- DuckDB
- Apache Parquet
- Pandas
- NumPy
- Pinecone
- ChromaDB
- Weaviate
- LangChain
- LangGraph
- Ollama
- OpenAI API
- MQTT
- Home Assistant
- IoT Telemetry
- Reinforcement Learning
- Statistics
- Anomaly Detection
- Data Visualization
- Dashboards
- Data Privacy
- GDPR
Location
- Dubai
Work Type
- Full-time
Experience Level
- Expert
Education Level
- Degree in Data Science, Computer Science, or a related quantitative field
Salary/Compensations
- Competitive Tax-Free Salary in AED
Benefits
- Performance Incentives
- Full UAE visa sponsorship
- Comprehensive health cover
- Paid Leave
- Annual Flight Ticket
- End-of-Service Gratuity
- Modern hardware
- Cloud data and machine learning tools
- Certification and conference support
- Clear path to leadership
- Autonomy and Impact
About the Company
- Dubai-based developer shaping the future of real estate and hospitality through technology-led, design-driven projects.
- Vision combines intelligent living, longevity and wellness, and autonomous systems within every development.
- Operating across smart home technology, robotics and agentic AI, they are building homes that think, learn and respond.
- Assembling a high-calibre technology team to turn raw data into a truly predictive and personalised living experience.