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Unicornis AI
Unicornis AI cover picture
Founded :
2023
Type :
Products & Services
Size :
0-20
Stage :
Bootstrapped

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Jobs at Unicornis AI

Unicornis AI
at Unicornis AI
Sachin Anbhule
Posted by Sachin Anbhule
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Navi Mumbai
5 - 7 yrs
₹9L - ₹15L / yr
skill iconPython
skill iconData Science
OpenAI
Retrieval Augmented Generation (RAG)
Large Language Models (LLM)

Note: We are looking for immediate joiners with 6+ years of experience.


Job Description

UnicornisAI is seeking a Senior Data Scientist with expertise in chatbot development using Retrieval-Augmented Generation (RAG) and OpenAI. This role is ideal for someone with a strong background in machine learning, natural language processing (NLP), and AI model deployment. If you are passionate about developing cutting-edge AI-driven solutions, we’d love to have you on our team.


Key Responsibilities

- Design and develop AI-powered chatbots using Retrieval-Augmented Generation (RAG), OpenAI models (GPT-4, etc.), and vector databases

- Build and fine-tune large language models (LLMs) to improve chatbot performance

- Implement document retrieval and knowledge management systems for chatbot responses

- Optimize NLP pipelines and model performance using state-of-the-art techniques

- Work with structured and unstructured data to enhance chatbot intelligence

- Deploy and maintain AI models in cloud environments such as AWS, Azure, or GCP

- Collaborate with engineering teams to integrate AI solutions into products

- Stay updated with the latest advancements in AI, NLP, and RAG-based architectures


Required Skills & Qualifications

- 6+ years of experience in data science, AI, or a related field

- Strong knowledge of RAG, OpenAI APIs (GPT-4, GPT-3.5, etc.), LLM fine-tuning, and embeddings

- Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks

- Experience with vector databases such as FAISS, Pinecone, or Weaviate

- Expertise in NLP techniques such as Named Entity Recognition (NER), text summarization, and semantic search

- Hands-on experience in building and deploying AI models in production

- Knowledge of cloud platforms like AWS Sagemaker, Azure AI, or Google Vertex AI

- Strong problem-solving and analytical skills


Nice-to-Have Skills

- Experience with MLOps tools for model monitoring and retraining

- Understanding of prompt engineering and LLM chaining techniques

- Exposure to LangChain or similar frameworks for RAG-based chatbots


Location & Work Mode

- Open to remote or hybrid work, based on location


Interested candidates can email their resumes to Sachin at unicornisai.com

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