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Remote mid-level ML role with specialized Oracle-LLM requirements, moderate applicant density.
Highly domain-specific Oracle cloud, financial automation, and compliance expertise reduces transferability.
Explicit 5-8 years plus many mandatory Oracle, LLM, compliance, and certification requirements.
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Design and develop AI automation solutions focused on intelligent financial document processing and production-grade AI applications.
Integrate Oracle out-of-the-box large language models and implement end-to-end automation workflows using Oracle Private Agent Factory and no-code agent development.
Ensure security and compliance in handling sensitive financial data aligning with standards such as SOX, GDPR, and PCI-DSS.
Bachelor’s Degree in IT, Computer Science, Machine Learning, or related field required.
5-8 years of professional software development experience with demonstrable design and project contributions.
Experience with open-source large language models, NLP (including transformer architectures), vector databases, semantic search, and model deployment in production.
Deep expertise in Oracle Cloud ecosystem (OIC, VBCS, APEX), Oracle Database optimization, and enterprise automation frameworks including RPA integration.
Hands-on practitioner experienced in combining generative AI expertise with Oracle technologies for financial process automation.
Skilled in developing custom adapters and AI-connectors, as well as managing security roles and compliance within Oracle Fusion applications.
Demonstrated ability to architect and deploy scalable AI-driven automation solutions within dynamic business environments supporting financial domains such as Order to Cash or Procure to Pay.