LLM Engineer - Data Modeling (1-5 yrs)

About the Role :

As a LLM Engineer/Developer, you will work alongside experienced data scientists and engineers to design, and implement large language models (LLMs) for Natural Language Processing (NLP) tasks. This role offers you the opportunity to grow in the AI field, contributing to state-of-the-art projects.

Roles & Responsibilities :

- Model Development Support : Assist in designing and training large language models for tasks such as text generation, summarization, and more.

- Learning and Innovation : Stay up-to-date with the latest advancements in NLP and LLMs while applying new techniques under supervision.

- Data Preprocessing : Data collection, cleaning, and preparation for model training, ensuring high-quality input data.

- Collaboration : Work closely with senior team members, data scientists, and software engineers to contribute to AI solutions.

- Documentation : Document model architecture, training procedures, and performance metrics. Communicate findings effectively with your team.

- Deployment Support : Assist in deploying models in production environments and learn how to ensure smooth integration.

Qualifications :

Educational Background : Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or in the final year of completion).

Technical Skills :

- Understanding of Python & SQL is must.

- Github, Fast API, Streamlit

- Exposure to NLP and machine learning algorithms.

- Familiarity with frameworks like Langchain, LamaIndex, Crew AI, TensorFlow, or PyTorch.

- Cloud Knowledge : Exposure to cloud platforms such as AWS, GCP or Azure is a plus.

- Team Spirit : Willingness to collaborate and learn from senior professionals, with a keen interest in developing expertise in AI and ML.