Data Scientist - LLM Models

Description :

Responsibilities :

- Implement and deploy machine learning and deep learning models to solve complex business challenges.

- Conduct exploratory data analysis and feature engineering to extract meaningful insights from large structured & unstructured datasets.

- Evaluate and fine-tune deep learning models, including transformer models, for optimal performance, scalability, and efficiency.

- Stay abreast of the latest advancements in machine learning and deep learning and contribute to the adoption of new technologies within the team.

- Collaborate with data engineers to build and maintain scalable data pipelines for model training and inference.

- Work closely with data scientists and stakeholders to understand project goals and requirements.

- Contribute to the development and maintenance of a robust and scalable machine learning infrastructure.

Requirements :

- 3+ years of hands-on experience in machine learning with a strong focus on deep learning, transformers, and LLMs.

- Proficient in Python and ML/DL frameworks with expertise in EDA, feature engineering, and model evaluation.

- Experienced in deploying, fine-tuning, and scaling ML models in production environments.

- Skilled in working with large structured and unstructured datasets and building scalable data pipelines with data engineers.

- Strong collaborator with the ability to translate business problems into effective, real-world ML solutions.