We are seeking a highly skilled and innovative Data Scientist with expertise in Large Language Models (LLMs), Natural Language Processing (NLP) applications or experience in working with LLM agents. The ideal candidate will have a strong background and experience in leveraging LLMs to develop and scale NLP solutions for real-world applications.
You will work closely with cross-functional teams to design, deploy, and optimize AI-driven solutions using LLM agents that enhance business outcomes.
Key Responsibilities:
Develop and deploy applications using LLM and LLM agents: Design, build, and deploy end-to-end NLP solutions using LLMs such as GPT, Llama etc.
Work with LLM agents: Integrate and manage LLM-based agents that automate and enhance processes across various platforms and business functions.
Research new LLM technologies: Stay at the forefront of LLM advancements, actively researching and experimenting with new models, LLM agents, and AI techniques to push the boundaries of what’s possible.
Data preparation & model training: Work with large datasets, including text, structured, and unstructured data, to fine-tune pre-trained models or train new LLMs for specific use cases.
Research and innovation: Stay updated with the latest developments in LLMs, LLM agents and latest solutions available in market in this field.
Candidate should have experience in solving use cases using LLM.
Qualifications:
Total experience can vary from 3+ years.
Relevant experience in LLM and NLP technologies - 1+ years
Strong working experience of LLMs such as GPT, Llama, Gemini etc.
Strong working experience with frameworks like LlamaIndex and LangChain. LlamaIndex is preferred.
Experience with LLM agents for process automation and workflow optimization.
Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable NLP applications. Azure is preferred.
Experience with MLOps and deployment pipelines for model lifecycle management.
LLMs, NLP, LLM Agents, GPT, Llama, Gemini, Llamaindex, Langchain, Process Automation, Workflow Optimization, AWS, Azure, GCP, MLOps, Deployment Pipelines, Model Lifecycle Management, Data Preparation, Model Training, NLP Solutions Development, Cloud Platforms