Overview We are seeking a skilled Machine Learning Engineer to design, build, and deploy scalable machine learning models within a cloud-based environment. This role will focus on developing marketing-driven models, requiring a strong blend of technical expertise and an understanding of marketing use cases.
Key Responsibilities Design, develop, and deploy machine learning models to support marketing initiatives.
Work with large-scale datasets using Google Cloud Platform (GCP), particularly BigQuery.
Collaborate with marketing and data teams to translate business needs into data-driven solutions.
Build and maintain robust data pipelines for model training and evaluation.
Optimize model performance and ensure scalability in production environments.
Write clean, efficient, and maintainable Python code.
Monitor and improve existing models based on performance metrics and business impact.
Required Skills & Experience Proven experience as a Machine Learning Engineer or similar role.
Strong proficiency in Python for data science and machine learning applications.
Hands-on experience with Google Cloud Platform (GCP).
Solid experience working with BigQuery for data analysis and processing.
Understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience building and deploying models in production environments.
Strong problem-solving and analytical skills.
Preferred Qualifications Experience working with marketing data or building marketing-focused models (e.g., customer segmentation, churn prediction, campaign optimization).
Familiarity with data visualization tools and techniques.
Knowledge of MLOps best practices.
Experience collaborating with cross-functional teams, especially marketing stakeholders.
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