Aarki

Machine Learning Engineer

• Develop and deploy machine learning models at scale to address key challenges in programmatic advertising, such as user response prediction, bid landscape forecasting, and fraud detection.
• Conduct exploratory data analysis and apply statistical techniques to extract insights and support decision-making.
• Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation.
• Work closely with senior data scientists and cross-functional teams including product, engineering, and business units to integrate models into production systems and applications.
• Assist in the development and implementation of best practices for model deployment, monitoring, and performance assessment.
• Stay updated on recent developments in machine learning and data science, and apply relevant techniques to solve complex problems and enhance our platform.
• Contribute to the exploration and adoption of new methodologies and technologies to advance our data science capabilities.

Staff Machine Learning Engineer

Analyst

• As an Analyst at Aarki, Inc., you will play a critical role in driving data-driven decision-making processes and optimizing our advertising strategies.
• You will work closely with cross-functional teams to analyze large datasets, uncover actionable insights, and contribute to the continuous improvement of our advertising campaigns.
• Run campaign optimization, data trend analysis, and missing opportunity analysis to identify areas of improvement and growth for assigned accounts.
• Collaborate with key members of the Product, Data Science, Engineering, and Business Development teams by providing data-driven insights and recommendations.
• Drive growth of the organization through analytical and business development projects.
• Own analytics-related conversations with clients and drive success for the assigned accounts.