Machine Learning Engineer
Job Summary
Seeking a hands-on Machine Learning Engineer, the full-time remote position will design, build, and deploy enterprise-grade GenAI and Agentic AI solutions for complex financial services workflows, focusing on comprehensive AI model workflows rather than just prompts or chatbots.
Key Responsibilities
- Build AI workflows for exception classification, triage, root-cause analysis, impact assessment, and remediation recommendations
- Develop agentic workflows involving orchestration, tool/function calling, state management, and human-in-the-loop validation
- Integrate AI applications with enterprise APIs, databases, workflow/ticketing platforms, and internal data sources
Required Qualifications
- Strong hands-on proficiency in Python backend development and experience with frameworks like FastAPI
- Proven experience building LLM/GenAI applications that went beyond proof-of-concept chatbots
- Hands-on experience with at least one agent or workflow orchestration framework
- Experience deploying backend services on a major cloud platform (AWS preferred)
- Strong SQL and data analysis skills, with experience working with large structured datasets
Complete Job Description
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