Description

You will build, train, and deploy machine learning models to solve complex business use cases, including mixed media modeling, ad attribution, and personalization.

This role is on-site.

Responsibilities

• Build and train ML models for use cases such as campaign optimization, lead scoring, and budget optimization.
• Analyze data to identify and develop new business use cases.
• Deploy machine learning models as REST APIs using Docker and Kubernetes.
• Apply clustering, classification, regression, and neural network techniques to data problems.

Required Skills

• 10+ years of professional experience, with at least 7 years focused on Machine Learning.
• Expertise in Python programming.
• Advanced data analysis using SQL.
• Hands-on experience with TensorFlow, PyTorch, and Scikit-Learn.
• Experience working with Neural Networks.
• Proficiency in libraries such as lightweightmmm and Robyn.
• Working knowledge of Azure or AWS cloud environments.
• Experience deploying models via REST APIs.

Preferred Skills

• Experience in mixed media modeling and marketing attribution.

Key Skills

Education

Any Gradute