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 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.

Responsible AI :

Should have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives.

Experience :

- Experience in working with ML toolkit like R, NumPy, MatLab etc.

- 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

Minimum Qualifications :

- Bachelors degree in Engineering, BCA, BTech, MTech, MCA, or MSc.

Tech Stack :

- Gen AI Technologies : Prompt Engineering, LLM Development using Langchain, Semantic Kernel, Open Source/ API based LLMs.

- Python Data Science, Machine Learning, Deep Learning, PySpark, PyTorch, TensorFlow, Keras, etc.

- AIML Subfields such as Neural Networks, Computer Vision, Speech Processing, Natural Language Processing.

- AIML Tools such as AzureML, Google ML, AWS AI/ML, H2O, DataBricks, DataRobots and any other tools.