Junior Machine Learning Engineer, Remote at Experian

, , United States -

Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

0.0

Posted On

02 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, LLM Integration, Prompt Engineering, Agentic Frameworks, RESTful APIs, Microservices, DevOps, Infrastructure as Code, Observability, Security, AWS, Docker, Kubernetes

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Overview: Experian is looking for a Machine Learning Software Engineer to join the Experian Assistant team—a GenAI-powered platform that delivers intelligent automation, client engagement, and fraud detection capabilities. You will help build agentic workflows, improve prompt engineering strategies, and integrate the latest LLMs using SDKs like OpenAI's Responses API and Experian's internal Arabica SDK. You will report into the Engineering Director. Responsibilities: Architect agentic workflows allowing multi-agent orchestration across Experian Assistant features Design and improve prompts for LLMs, and analytics feedback systems Integrate and evaluate LLMs (e.g., GPT-4, GPT-5, Claude, Llama) for Assistant use cases including Code Advisor, Analytics Expert, and Data Tutor Collaborate with teams to implement latency-optimized solutions and support parallel model onboarding Contribute to deployment documentation and release planning using Confluence and internal PR tracking systems. Ensure code through automated testing, code reviews, and continuous integration pipelines. Maintain deployment pipelines and ensure testing for beta clients, including glossary expansion and sandbox integration #LI-Remote Qualifications Required Skills and Qualifications: Bachelor's degree in Computer Science, Machine Learning, or related field. 3+ years of experience in ML engineering or backend development with Python (3.8–3.12). Hands-on experience with LLM integration, prompt engineering, and agentic frameworks (e.g., OpenAI Responses API, LangChain). Experience with RESTful APIs, and microservices. Experience with DevOps best practices, including infrastructure as code, observability, and security. Knowledge of RBAC, audit logging, and version control for ML functions and libraries. Experience with AWS , Docker, and Kubernetes Additional Information Benefits/Perks: Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Responsibilities

The role involves architecting workflows for multi-agent orchestration and improving prompt engineering strategies. Additionally, the engineer will integrate and evaluate large language models for various use cases.