AI/ML Engineer

Global Technical Talent, an Inc. 5000 Company; Fort Mill (SC); On-site; USD 9,092,000 - 16,256,000; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Global Technical Talent is seeking an AI/ML Engineer for a 12‑month contract in Fort Mill, SC. The role focuses on developing and deploying AI-powered capabilities across enterprise applications, spanning experimentation to production deployment.

You will work on AI/LLM workflows, RAG pipelines, and scalable APIs, utilizing Python and potentially React for front-end tasks, within an on-site setting with onsite flexibility.

Qualifications

• Experience delivering enterprise software with AI/ML applications.
• Strong ML concepts, model development, evaluation and deployment.
• Experience with Large Language Models (LLMs), prompt engineering, and RAG-based applications.
• Strong Python development experience, including APIs.
• Experience building production-grade APIs and distributed systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and deploying AI workloads in production.
• Knowledge of MLOps, CI/CD, model monitoring and observability.
• Experience with SQL and large-scale data processing.
• Strong analytical and problem-solving skills; ability to translate business needs into AI solutions.
• Excellent communication and collaboration skills in Agile teams.

Responsibilities

• Design, develop, and deploy AI-powered features for enterprise applications.
• Build and optimize AI/LLM workflows and agentic processes.
• Develop RAG pipelines and improve accuracy and reliability of AI responses.
• Create evaluation benchmarks and automated testing for model quality.
• Deploy ML models and LLM solutions in production environments.
• Build back-end services with Python and contribute to React front-ends as needed.
• Develop scalable APIs and services integrating AI capabilities.
• Optimize AI systems for performance, latency, and costs.
• Apply responsible AI principles with explainability and governance.
• Participate in architecture reviews, code reviews, and mentoring.
• Evaluate emerging AI tech and propose value-driving improvements.

Skills

AI/ML

Python

LLMs

RAG

APIs

Cloud (AWS/Azure/GCP)

MLOps

CI/CD

SQL

Agile

Tools

React

Job description

• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

AI/ML Engineer

Location: Fort Mill, SC

Onsite Flexibility: Onsite

Contract Details

• Position Type: Contract
• Contract Duration: 12 months
• Pay Rate: $66.00 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

We're looking for an AI/ML Engineer with strong machine learning and software engineering experience to develop and deploy AI-powered capabilities in enterprise applications. The role involves working across the full AI development lifecycle, from experimentation and model evaluation through to production deployment.

Key Responsibilities

• Design, develop, and deploy AI-powered features for enterprise applications.
• Build and enhance AI/LLM workflows, including agentic workflows.
• Develop Retrieval-Augmented Generation (RAG) pipelines and improve the accuracy, grounding, and reliability of AI-generated responses.
• Design and implement evaluation frameworks, benchmarks, and automated testing to measure model quality and support continuous improvement.
• Develop, integrate, and deploy machine learning models and large language model solutions in production environments.
• Build and maintain back-end services using Python and contribute to front-end development using React where required.
• Develop scalable APIs and services that integrate AI capabilities into enterprise applications.
• Optimize AI systems for performance, latency, scalability, reliability, and cost efficiency.
• Apply responsible AI principles, ensuring solutions are explainable, traceable, and aligned with enterprise governance and data standards.
• Participate in architecture discussions, code reviews, and technical mentoring to promote engineering best practices.
• Evaluate emerging AI technologies and recommend improvements that provide measurable value.

Required Skills

• Extensive experience delivering enterprise software solutions, with hands-on experience developing AI or machine learning applications.
• Strong understanding of machine learning concepts, model development, evaluation, and deployment.
• Experience working with Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG) based applications.
• Strong Python development experience, including expertise with APIs.
• Experience building production-grade APIs and distributed systems.
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and deploying AI workloads in production.
• Knowledge of MLOps practices, CI/CD pipelines, model monitoring, evaluation, and observability.
• Experience working with SQL and large-scale data processing.
• Strong analytical and problem-solving skills with the ability to translate business requirements into robust AI solutions.
• Excellent communication and collaboration skills, with experience working in Agile, cross-functional teams.

Preferred Skills

• Experience with React or other modern front-end frameworks.

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

About the Client

This client is a leading provider of financial markets data and infrastructure, operating globally and powering critical investing, trading, and risk decisions for clients worldwide. The organization offers an open platform backed by best-in-class data and domain expertise, driving performance, innovation, and growth for financial institutions across international markets. Teams here include software engineers, AI/ML engineers, data scientists, financial technology specialists, and infrastructure professionals collaborating to deliver enterprise-grade solutions at global scale.

Job Number: 26-12694 Industry: Engineering