Marketing AI/ML Engineer
Tasks
- Build AI agents and automation workflows
- Build data and model pipelines
- Build model evaluation and monitoring
- Create prompt workflows
- Deploy machine learning models
- Design machine learning solutions for marketing use cases
- Develop Retrieval-Augmented Generation (RAG) systems
- Develop generative AI solutions for marketing use cases
- Document systems and models
- Implement embeddings and vector search
- Integrate AI outputs into dashboards and tools
- Perform data preparation and feature engineering
Perks/Benefits
Skills/Tech-stack
BigQuery | CI/CD | Classification | Clustering | Databricks | Docker | Embeddings | Experiment tracking | Generative AI | Git | LLMOps | Langchain | Llamaindex | MLOps | Machine Learning | Monitoring | NumPy | Pandas | Prompt engineering | Python | RAG | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | Snowflake | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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