Senior AI/Machine Learning Engineer

RSC Solutions; Chicago (IL); Presencial; USD 100.000 - 167.000; Jornada completa

Descripción de la vacante

RSC Solutions, Inc. is seeking a Senior AI/ML Engineer in Chicago to join the Emerging Technology COE for a 2-month engagement. The role focuses on building and supporting Generative AI, ML, DL, and data science solutions across the organization.

You will design guardrails, implement PII/MNPI handling, and drive governance. Proficiency in Python/Java, Airflow, and cloud services (AWS/Azure) is essential for delivering scalable, compliant AI workflows.

Formación

• Experience building Gen AI/ML solutions in enterprise settings.
• Experience with LLM deployments and data pipelines.
• Familiarity with AI governance and guardrails.
• Proficiency in Python/Java and cloud services.

Responsabilidades

• Lead Gen AI/ML solution design and deployment.
• Maintain production SLAs and monitor performance.
• Develop guardrails and governance with risk teams.
• Collaborate with product owners to implement AI governance.
• Build scalable data workflows with Airflow.

Conocimientos

Gen AI/ML concepts

Python/Java

Cloud services (AWS/Azure)

Data pipelines

Model deployment

Governance & guardrails

Team collaboration

Herramientas

Airflow

Langchain

Langraph

Cloud platforms

Descripción del empleo

TITLE: Senior AI/ML Engineer

DURATION: 2 months

JOB DESCRIPTION:

Emerging technology AI Center of excellence (COE) group is seeking a Senior AI/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 Client's 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 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

- AI/LLM - Langchain, Langraph - basic knowledge