- Possess strong logical and analytical abilities in problem-solving and solution designing
- Use case derivation and solution creation from structured/unstructured data
- Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance & capabilities of LLMs
- Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
- An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
- Work closely with business and product management teams to develop and implement analytics solutions.
- Communicate results to diverse technical and non-technical audiences.
- Research and Innovation: Stay up to date with the latest advancements in the fields of AI
Mandatory Skills:
Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
Deep learning/LLM models finetuning and evaluation
Good to Have Skills -
LLMOps
Cloud (AWS)
