• LLM Development/Deployment Pipeline creation, workflows

• Study and transform Gen AI PoCs to production grade deployment

• Design machine learning systems, Run machine learning tests and experiments

• Research and implement appropriate ML algorithms and tools

• Develop machine learning applications according to requirements

• Select appropriate datasets and data representation methods

• Perform statistical analysis and fine-tuning using test results

• Train and retrain systems when necessary

• Gen AI Development :

Data collection and preparation: Collect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data.

Model development: Design and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters.

Model evaluation: Evaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text.

Model deployment: Deploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform.

• 2-5 years of IT experience (2 Years in AI/ML/DS Domain).