AI Engineer

hyrusinc; Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Job summary

Fitch Group's Emerging Technology AI Center of Excellence seeks a senior ML engineer to lead Gen AI and ML initiatives across the enterprise. The role focuses on building scalable data science and AI solutions, implementing governance, and providing guidance for safe development and deployment of AI components.

The candidate will collaborate with product teams and compliance to ensure robust AI capabilities with strong guardrails and performance monitoring.

Qualifications

• Senior machine learning engineer with focus on Gen AI/ML solutions.
• Experience building and supporting Generative AI, ML, DL and Data Science workloads.
• Ability to design and implement guardrails and governance for AI/ML projects.

Responsibilities

• Design Gen AI/ML workflows and scalable solutions for enterprise needs.
• Maintain SLAs for production AI/ML applications and monitor performance.
• Develop Gen UI/UX and backend components for AI guardrails.

Skills

Python

Java

Airflow

AWS

Azure

Tools

Python

Java

Airflow

AWS

Azure

Job description

AI Engineer

The Fitch Group Emerging technology AI Center of excellence (COE) group is seeking a senior machine learning engineer to be part of a team that will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization.

Specific Emerging Technology team objectives are:

• Gen AI/ML technology implementation with business and product owners
• AI COE function to provide standards, prescriptions, reusable frameworks and platform for AI acceleration
• Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well as third party AI governance
• Lead and support other enterprise-level AI exploration tools and capabilities
• Provide guidance and support for safe development and deployment of AI Core project specific Objectives:
• Collect the core compliance and regulatory requirements from the Fitch compliance and risk team for building AI guardrails
• Design the Gen UI/UX and backend for these "Guardrail" requirements
• Implement PII/MNPI and Prompt injection handling capabilities in the "Guardrail" backend AI COE

AI COE Specific objectives:

• Designs and develops scalable solutions and GenAI and ML workflows that leverage machine learning, gen AI and deep learning models to meet enterprise requirements.
• Actively participate in maintaining SLAs for Production applications and support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions
• Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows.
• Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats and storage technologies, and incorporate them into robust data workflows and dynamic systems