Junior Data Scientist

Manipulate and preprocess structured and unstructured data to prepare datasets for analysis and model training.
b.
Utilize Python libraries like PyTorch, Pandas, and NumPy for data analysis, model development, and implementation.
c.
Fine-tune large language models (LLMs) to meet specific use cases and enterprise requirements.
d.
Collaborate with cross-functional teams to experiment with AI/ML models and iterate quickly on prototypes.
e.
Optimize workflows to ensure fast experimentation and deployment of models to production environments.
f.
Implement containerization and basic Docker workflows to streamline deployment processes.
g.
Write clean, efficient, and production-ready Python code for scalable AI solutions.