AI/ML Automation Engineer
Tasks
- Build AI automation workflows
- Create APIs for enterprise integration
- Deploy machine learning models
- Design data extraction programs
- Develop deployment automation frameworks
- Drive AI adoption and innovation
- Integrate AI solutions into production systems
- Optimize systems for scalability and cost
- Perform statistical analysis on large datasets
- Set up data pipelines
- Translate analytics models into production systems
Perks/Benefits
Skills/Tech-stack
API Development | Cloud Run | Cloud platform | Credit Risk | Credit risk modeling | Fraud decisioning | Google Cloud | Google Cloud Platform | H2O | Hadoop | Hive | Jenkins | LLM Agents | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Prompt engineering | Python | R | RAG | Risk Fraud Decisioning | Risk Modeling | Risk/Fraud | SQL | Semantic Kernel | Spark | Vertex AI
Education
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