Primary skills: Technology->Artificial Intelligence->Computer Vision, Technology->Big Data->Natural language processing(NLP), Technology->Machine Learning->Python
- 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.
- 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 in working with ML toolkit like R, NumPy, MatLab etc..
- Experience in data mining, statistical analysis and data visualization
Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability
- Good knowledge on software configuration management systems
- Awareness of latest technologies and Industry trends
