AI Lead Engineer

Responsibilities

• Design, develop, and deploy machine learning models using AWS SageMaker
• Automate ML workflows using SageMaker Pipelines
• Integrate models with AWS services including Lambda, S3, and CloudWatch
• Perform data preprocessing, feature engineering, and model evaluation
• Monitor model performance and retrain models as needed

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
• 10+ years of overall experience with 2+ years of relevant ML experience
• Experience in ML model development and deployment, ideally in media, ad tech, or programmatic advertising
• Strong programming skills in Python
• Experience with ML frameworks such as Scikit-learn, XGBoost, TensorFlow, or LightGBM
• Deep understanding of auction theory, real-time bidding (RTB), supply path optimization (SPO), and bid landscape modelling
• Proven expertise in audience modelling, identity graphs, targeting, and predictive analytics
• Experience with cloud platforms and large-scale data systems

Preferred Qualifications

• Experience in reinforcement learning, Bayesian optimization, or economic modelling for pricing strategies
• Knowledge of computer vision (CV) or natural language processing (NLP) for media content tagging or classification
• Exposure to privacy-safe technologies, clean rooms, or federated learning
• Prior work with ML Ops platforms like MLflow, Weights & Biases, or Kubeflow

About the Company

Our client is a leading media and cutting-edge AdTech company revolutionizing programmatic advertising by empowering brands, agencies, and media partners to seamlessly plan, buy, and optimize cross-platform campaigns.