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.