About this role
Area(s) of responsibility
Role Overview
We are seeking a highly skilled Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and MLOps . The ideal candidate will be responsible for building scalable predictive models, driving advanced analytics, and operationalizing ML models in production environments. This role requires a deep understanding of statistical modeling, predictive analytics, and Python-based data ecosystems , with exposure to modern platforms such as Databricks Mosaic AI and Snowflake Cortex being an added advantage.
Key Responsibilities
- Design, develop, and deploy machine learning and AI models for real-world business problems.
- Perform advanced statistical analysis and build predictive models to derive actionable insights.
- Develop and implement end-to-end ML pipelines , including data ingestion, feature engineering, model training, validation, and deployment.
- Build and manage MLOps frameworks for continuous integration, delivery, monitoring, and model governance.
- Work closely with data engineering teams to ensure robust and scalable data pipelines.
- Conduct exploratory data analysis (EDA) and hypothesis testing to support data-driven decision-making.