Senior AI/ML Engineer

3. Data Pipeline & Integration

• Work hand-in-hand with Data Engineering to design data pipelines that efficiently ingest and process large volumes of property data.
• Ensure real-time or near-real-time data flows into ML models and search indices.

4. Search Enhancement

• Integrate ML models with Elasticsearch/OpenSearch to power advanced features like semantic search, auto-complete, and relevance ranking.
• Continuously tune models for accuracy, performance, and relevance based on user feedback and A/B testing.

5. Research & Innovation

• Stay on top of emerging AI/ML trends, especially in NLP and information retrieval, proposing cutting-edge solutions for Landeed’s platform.
• Experiment with LLMs (Large Language Models) for summarizing documents, extracting insights, and enhancing user queries.

6. Performance Monitoring & Optimization

• Implement robust monitoring, alerting, and logging to track model performance in production.
• Optimize inference pipelines for latency, throughput, and cost in a cloud environment.

7. Collaboration & Mentorship

• Work closely with cross-functional teams (Product, Frontend, QA) to align AI/ML solutions with business goals.
• Mentor junior engineers in best practices for model design, coding, and MLOps.

Qualifications

• 3+ years of experience in AI/ML engineering, with a focus on NLP or search.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with information retrieval technologies like Elasticsearch, Solr, or OpenSearch.
• Practical knowledge of cloud services (AWS, GCP, or Azure) for deploying and scaling ML models.
• Familiarity with CI/CD and containerization (Docker, Kubernetes) for MLOps.
• Strong problem-solving skills and an ability to navigate complex, unstructured data environments.
• Excellent communication skills to collaborate across teams and present technical concepts effectively.

Preferred

• Experience with OCR libraries (Tesseract, AWS Textract) or advanced document processing.
• Background in real estate, legal tech, or government data systems.
• Exposure to streaming technologies (Kafka, Spark Streaming) for real-time data ingestion.
• Hands-on experience with vector databases (Pinecone, Weaviate) for semantic search.

Why Join Landeed?

• High-Impact Role: Shape the AI backbone of a cutting-edge real estate platform that transforms how millions access property information.
• Fast-Growing Startup: Join a dynamic, collaborative environment in Hyderabad, where your ideas and expertise will be valued.
• Competitive Compensation: Receive a fixed salary plus equity, aligning your success with the company’s growth.
• Professional Growth: Work with talented peers and stay at the frontier of AI/ML innovations in NLP and information retrieval.

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