Senior Machine Learning Engineer (AdTech)

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Requirements:

• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience building and deploying ML pipelines in production environments.
• Knowledge of data preprocessing techniques and experience working with large datasets.
• Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
• Strong understanding of supervised and unsupervised learning techniques, including predictive modeling and clustering algorithms.
• Experience with MLOps practices, including CI/CD for ML pipelines and model monitoring.

Responsibilities:

• Design, develop, and deploy machine learning models to enhance audience segmentation, insights generation, and performance measurement.
• Build and maintain end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment.
• Collaborate with data engineers to ensure seamless integration of ML models with real-time data pipelines.
• Experiment with advanced algorithms in predictive modeling, recommendation systems, and natural language processing.
• Optimize ML models for scalability and performance to deliver actionable insights and measurable outcomes.
• Monitor and maintain deployed models, implementing retraining pipelines for accuracy and relevance.