Job highlights

- Regularly review and fine-tune Large Language Models (LLMs) to ensure maximum accuracy and relevance for custom datasets
- Collect and prepare data for training and evaluating multimodal foundation models, including data cleaning and synthetic data creation.
- Develop and optimize large-scale language models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
- Work on tasks involving language modeling, text generation, understanding, and contextual comprehension.
- Regularly review and fine-tune Large Language Models (LLMs) to ensure maximum accuracy and relevance for custom datasets.
- Build and deploy AI applications on cloud platforms like Azure, GCP, or AWS.




- Integrate AI models with company data to enhance and augment existing applications. Cognizant Careers+1Cognizant Careers+1 GrabJobs+3Cognizant Careers+3Cognizant Careers+3

Role & Responsibility:

- Handle data preprocessing, augmentation, and generation of synthetic data.
- Design and develop backend services using Python or .NET to support OpenAI-powered solutions or other LLM solutions.
- Develop and maintain AI pipelines.
- Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models

OK

📌 Connect direct Professionals (Hubballi)
🏢 Han Digital Solution
📍 Hubballi