
AI Innovator
6 days ago
Transforming the property experience in India requires innovative solutions that drive cutting-edge innovation. Our comprehensive approach to machine learning enables us to achieve this goal.
The successful candidate will lead applied research and development of advanced AI/ML solutions across domains, including recommender systems, computer vision, speech processing, and generative AI agents.
- Design and deploy end-to-end ML pipelines leveraging state-of-the-art deep learning, NLP, time-series modeling, and image analysis techniques
- Develop scalable, maintainable AI/ML platforms that deliver robustness, reliability, and alignment with enterprise objectives
- Collaborate with engineering, design, and product teams to operationalize ML models, ensuring seamless integration and measurable business impact
The ideal candidate will possess a graduate/post-graduate degree from a Tier-I institute with 5–8 years of applied experience in AI/ML, spanning NLP, deep learning, computer vision, image processing, and introductory experience in building or fine-tuning generative AI models.
- Proven leadership (2+ years) in leading teams and driving ML projects, with a track record of building strong Data Science practices and fostering high-performance culture.
- Advanced ML Expertise: Proficiency in ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn) and Python, with hands-on experience in deep learning architectures (Transformers, CNNs, RNNs, LSTMs), statistical modeling, and scalable deployment using distributed systems (e.g., Spark, Hadoop).
- Generative AI & Applied Innovation: Practical experience with LLM fine-tuning, RAG pipelines, embeddings, and prompt engineering; familiarity with GenAI ecosystems (LangChain, Langraph, Pinecone, CrewAI) and integration into production applications.
A passion for solving complex problems with the courage to take research risks and drive innovation is essential for this role.
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