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Added Apr 27Senior AI/ML Engineer
at Doctor Droid
Hyderabad, Telangana, United StatesOn-site
Responsibilities
- Collaborate with DevOps to deploy and maintain these models in production, ensuring scalability and low latency.
- NLP & Document Intelligence Build and refine NLP pipelines for document analysis , OCR , and entity extraction from legal/real estate records.
- Develop text pre-processing and feature engineering strategies to handle unstructured and multilingual data.
- Ensure real-time or near-real-time data flows into ML models and search indices.
- Continuously tune models for accuracy , performance , and relevance based on user feedback and A/B testing.
- Research & Innovation Stay on top of emerging AI/ML trends, especially in NLP and information retrieval, proposing cutting-edge solutions for Landeed’s platform.
- Optimize inference pipelines for latency, throughput, and cost in a cloud environment.
- Mentor junior engineers in best practices for model design, coding, and MLOps.
Requirements
- Job Overview We are looking for a Senior AI/ML Engineer to spearhead the design, development, and deployment of cutting-edge machine learning models that power our Search and document intelligence features.
- This is a high-impact role where you’ll directly shape the AI backbone of Landeed’s platform, tackling diverse challenges—from large-scale data ingestion and deep learning NLP to semantic search and intelligent recommendations. Key
- Responsibilities Model Development & Deployment Design and implement ML/DL models (e.g., NLP for document parsing, text classification, semantic search) using PyTorch , TensorFlow , or Hugging Face frameworks.
- Search Enhancement Integrate ML models with Elasticsearch/OpenSearch to power advanced features like semantic search , auto-complete , and relevance ranking .
- Experiment with LLMs (Large Language Models) for summarizing documents, extracting insights, and enhancing user queries.
- Collaboration & Mentorship Work closely with cross-functional teams (Product, Frontend, QA) to align AI/ML solutions with business goals.
- 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.