Machine Learning Engineer - L3

Overview

Machine Learning Engineer (L3) to design and implement ML models and data pipelines for a programmatic demand-side platform (DSP).

What you'll do

• Develop ML models for programmatic advertising problems like user response prediction, bid landscape forecasting, and fraud detection.
• Collaborate with senior data scientists and cross-functional teams to integrate models into production workflows.
• Analyze the impact of new data sources and features on model performance.
• Build and maintain data pipelines for large datasets used in model training and evaluation.
• Contribute to testing new tools, methodologies, and technologies to improve ML capabilities.
• Document experiments, assumptions, and outcomes to maintain reproducibility.

What you'll need

• Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field.
• 1-3 years of professional experience in machine learning, statistical analysis, and data analysis.
• Experience with regression, classification, and clustering techniques.
• Proficiency in Python and SQL.
• Familiarity with big data tools such as Spark and ML libraries such as TensorFlow, PyTorch, and Scikit-Learn.
• Strong grasp of probability, statistics, and data analysis principles.
• Ability to communicate complex concepts to diverse stakeholders in a team environment.

Nice to have

• Familiarity with C++ and Rust.
• Exposure to online inference systems and model endpoints (gRPC/REST).
• Exposure to streaming features such as Kafka/Flink.
• Ad-tech familiarity including auction dynamics, pacing, fraud signals, and creative personalization.

Details

• Location: Bengaluru.