Description
The role manages overall team performance and SLA targets while performing data collation, processing, cleaning, transformation, feature engineering, and model development. It involves hands-on model training, evaluation, fine-tuning, quality checks, analytics-driven insights, client deliverable management, translating business requirements into analytical problems, understanding client data platforms, and contributing to problem-solving methodologies. The posting specifies a bachelor's degree and 0–1 year of experience.
