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Senior Machine Learning Engineer – GenAI​/LLM​/AI Guardrails

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: ERPMARK INC
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Senior Machine Learning Engineer – GenAI / LLM / AI Guardrails
Job Title:

Senior Machine Learning Engineer
- GenAI / LLM / AI Guardrails

Location:

Chicago, IL
- Hybrid (Preferred)

Job Description:

Client 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.

Position Requirements
10+ Years work experience
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