Gen AI Developer

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.