Description

Key Skills: AI/ML, SQL, Python, Data Scientist

Roles and Responsibilities:

• Develop and optimize AI/ML models using Python, with strong data preparation and feature engineering.
• Use SQL to extract, transform, and validate datasets for model training, evaluation, and monitoring.
• Deploy and manage ML workflows using Azure ML and Databricks for scalable, repeatable releases.
• Design and build scalable data pipelines to support model training and inference use cases.
• Collaborate with stakeholders to define success metrics, iterate on model performance, and drive data-driven decisions.

Skills Required:

• 3 - 6 years of relevant experience in data science and machine learning.
• Python for building and optimizing AI/ML workflows and model training pipelines.
• SQL for data extraction, transformation, and validation across analytics and ML datasets.
• AI/ML model development and optimization (end-to-end ML project delivery).
• Production deployment mindset for ML models and scalable pipeline development.

Good to Have:

• Experience working as a Data Scientist on ML projects in risk, lending, collections, or customer analytics.

Education: Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field

Key Skills

Education

Any Graduate