Data Scientist

Develop, deploy, and optimize ML models for prediction and forecasting tasks on tabular/text datasets.
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development.
Build and deploy end-to-end ML pipelines, including model training, evaluation, and serving in production environments.
Monitor and maintain deployed models to ensure robustness, scalability, and performance over time.
Implement feedback loop into prediction.
Drive innovation: Explore, experiment with, and integrate cutting-edge ML techniques and frameworks into projects.
Experience in Computer Vision, NLP, and LLMs in production environment will be a plus.
Exposure to data volume extremes (high volume, constrained volume) will be a plus.
Document workflows, methodologies, and findings for both technical and non-technical stakeholders.