Senior Machine Learning Engineer – GenAI / LLM / AI Guardrails

Chicago, IL, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Apache Airflow
  • Data Processing
  • Generative Artificial Intelligence (AI)
  • Data Science
  • Deep Learning
  • Extract, Transform, Load
  • Artificial Intelligence
  • Cloud Computing
  • Collaboration
  • Regulatory Compliance
  • Systems Design
  • UI
  • User Experience
  • Java
  • Machine Learning (ML)
  • Microsoft Azure
  • Python
  • Workflow

Summary

Job Title: Senior Machine Learning Engineer – GenAI / LLM / AI Guardrails

Location: Chicago, IL – Hybrid (Preferred)
Duration: As per client requirement

Job Description:

Fitch Ratings is seeking a Senior Machine Learning Engineer to develop and support enterprise-level Generative AI, Machine Learning, Deep Learning, and Data Science solutions.

Key Responsibilities:

  • Design and develop scalable Generative AI, ML, and Deep Learning solutions.

  • Build AI Guardrails to address compliance, regulatory, and enterprise security requirements.

  • Implement PII/MNPI detection and protection mechanisms in AI applications.

  • Develop prompt injection detection and mitigation capabilities for LLM-based systems.

  • Design GenAI UI/UX and backend components for AI governance and guardrail solutions.

  • Build and maintain production-grade AI/ML workflows using Python and Java.

  • Develop ETL pipelines and orchestrate workflows using Apache Airflow.

  • Integrate AWS and Azure cloud services to support data processing and LLM workflows.

  • Monitor production performance, maintain SLAs, and continuously improve AI/ML solutions.

  • Collaborate with business, product, compliance, and risk teams to implement responsible AI practices.

Required Technical Skills:

  • Strong Python programming and Machine Learning experience.

  • Hands-on Generative AI, LLM, and Deep Learning implementation.

  • Experience with AI Guardrails, prompt injection mitigation, and PII/MNPI protection.

  • Experience with AWS and/or Azure cloud services.

  • Knowledge of ETL pipelines, data workflows, and Apache Airflow.

  • Experience deploying and supporting production-grade AI/ML applications.

Important: Candidates must demonstrate hands-on project experience in Generative AI/LLM solutions and AI security or guardrails. Generic Data Scientists without relevant implementation experience may not be suitable.

To Apply: Please share your updated resume highlighting relevant GenAI/LLM and AI Guardrails project experience.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10270489
  • Position Id: 9114972
  • Posted 1 hour ago
Contact the job poster
AK

Arjun King

Recruiter @ ERPMark Inc

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