Marketing AI/ML Engineer

• Build and scale AI-driven systems that support marketing measurement, experimentation, and decision-making
• Develop automation and agent-based workflows that reduce manual analysis and operational overhead
• Ensure outputs are interpretable, reliable, and aligned to business context
• Contribute to a modern marketing intelligence ecosystem combining ML, GenAI, and analytics engineering

This role is not about owning a single model or tool. It is about helping Marketing move faster and smarter by embedding AI into how work actually gets done.

Responsibilities

• Design, develop, and deploy machine learning and generative AI solutions for marketing use cases
• Build and maintain scalable data and model pipelines across the ML lifecycle (data prep, modeling, evaluation, deployment, monitoring)
• Develop GenAI capabilities including prompt workflows, embeddings, and retrieval-augmented generation (RAG) patterns
• Contribute to AI agents and automation workflows that streamline marketing analysis and operations
• Partner with Marketing and Analytics teams to translate business needs into technical solutions
• Perform data preparation, feature engineering, and validation across marketing and enterprise data sources
• Integrate AI outputs into dashboards, tools, and downstream workflows
• Document systems, models, and outputs to ensure transparency and usability

Requirements

• Bachelor’s degree required; Master’s preferred in a quantitative field
• 1–3 years of experience in ML, data science, analytics engineering, or software engineering
• Strong foundation in machine learning (regression, classification, clustering, evaluation)
• Proficiency in Python and SQL for data and model development
• Experience with standard ML/data libraries (Pandas, NumPy, Scikit-learn)
• Familiarity with GenAI concepts (prompting, embeddings, vector search, evaluation)
• Exposure to modern data platforms (Snowflake, Databricks, BigQuery) and version control (Git)
  • Ability to work cross-functionally and communicate technical concepts clearly