Senior Machine Learning Engineer – GenAI / LLM / AI Guardrails

ERPMARK INC; Chicago (IL); Hybrid; USD 140,000 - 200,000; Full time

Job summary

ERPMARK INC in Chicago, IL seeks a Senior Machine Learning Engineer to design and support enterprise GenAI and ML solutions. You will build AI guardrails, implement PII/MNPI protections, and develop prompt injection detection for LLM-based systems.

Responsibilities include designing GenAI UI/backend for governance, building production-grade AI/ML workflows in Python and Java, and integrating AWS/Azure services.

Qualifications

• Hands-on experience building GenAI/LLM and ML solutions in enterprise environments.
• Experience implementing AI guardrails, prompt injection mitigation, and data protection.
• Knowledge of deploying production-grade AI/ML applications and ETL workflows.

Responsibilities

• Design scalable GenAI/ML solutions for enterprise use cases.
• Build AI guardrails addressing compliance, security and governance.
• Implement PII/MNPI protection within AI applications.
• Develop prompt-injection detection and mitigation for LLM-based systems.
• Create GenAI UI/Backend components for governance and guardrails.
• Build production ML workflows using Python/Java; manage ETL with Airflow.
• Integrate AWS/Azure cloud services to support data processing and LLM tasks.
• Monitor production performance, define SLAs, and drive improvements.
• Collaborate with risk, product, and compliance teams on responsible AI.

Skills

Python

GenAI/LLM

AI Guardrails

Cloud (AWS/Azure)

ETL

Airflow

ML Deployment

Production ML

Tools

Airflow

AWS/Azure

Job description

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.