eka.care - Senior Data Scientist - LLM (3-5 yrs)

About the Role :

We are seeking a highly skilled and passionate Senior Data Scientist to join our growing AI/ML team.

In this role, you will play a crucial part in developing cutting-edge AI solutions within the healthcare domain.

You will focus on building and refining sophisticated Large Language Models (LLMs) to address critical challenges and improve healthcare outcomes.

Key Responsibilities :

- Develop and refine LLMs tailored for specific healthcare applications (e.g, medical diagnosis, drug discovery, patient care).

- Design and implement robust data pipelines for collecting, cleaning, and preparing high-quality healthcare datasets for LLM training.

- Conduct thorough experimentation with different LLM architectures, hyperparameters, and training techniques.

- Fine-tune pre-trained LLMs on specific healthcare tasks and datasets.

- Implement techniques for improving LLM performance, such as prompt engineering, few-shot learning, and reinforcement learning.

- Develop and implement rigorous evaluation metrics to assess the performance of LLMs on various healthcare tasks.

- Conduct thorough model validation and testing to ensure accuracy, reliability, and safety.

- Monitor model performance in production and identify areas for improvement.

- Stay abreast of the latest advancements in LLM research and development.

- Explore and implement cutting-edge techniques in natural language processing (NLP) and machine learning.

- Conduct research and development on novel applications of LLMs in the healthcare domain.

- Collaborate effectively with data engineers, clinicians, researchers, and other stakeholders.

- Clearly communicate complex technical concepts to both technical and non-technical audiences.

- Present research findings and project updates to team members and stakeholders.

Qualifications :

Essential :

- Master's or Ph. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- 3+ years of experience in developing and deploying machine learning models, with a strong focus on NLP and deep learning.

- Proven experience in building and fine-tuning large language models.

- Strong proficiency in Python and experience with deep learning frameworks (e.g, TensorFlow, PyTorch).

- Experience with data preprocessing, feature engineering, and model evaluation techniques.

- Excellent analytical and problem-solving skills.

- Strong communication and interpersonal skills.