Posted on: 27/09/2025
Responsibilities :
- Implement and optimize embedding models for semantic search and retrieval.
- Work on distributed model training and inference optimization for efficient performance.
- Collaborate with backend engineers to integrate AI models into the application.
- Ensure AI model security, performance, and scalability in on-premise and cloud deployments.
Requirements :
- Hands-on experience with Generative AI and LLM (Large Language Models).
- Exposure to voice-enabled Chatbot is mandatory.
- Strong knowledge of Natural Language Processing (NLP), deep learning, and machine learning.
- Experience with AI frameworks like TensorFlow, PyTorch, or similar.
- Hands-on experience with vector databases (Elasticsearch, Weaviate, Milvus, FAISS).
- Proficiency in deploying AI models using Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with RAG-based AI solutions, LangChain, LlamaIndex is a plus.
- Bachelor's/Master's degree in Computer Science, AI, Machine Learning, or a related field.
Top 3 Mandatory Skills :
- AIML- min 3 years exp
- Voice Chatbot:- min 1 yr
- LLM: min 1 yr
- Gen AI: 3 yrs
IC role.
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