AI ML Engineer

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 realize 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

Job description

Experian is looking for a skilled Machine Learning Engineer to join our team of machine learning engineers in the Personalization and AI Services division. The ideal candidate will have expertise in Python, AI, machine learning, and AWS. You will design, develop, and deploy machine learning models to drive personalized experiences and AI-driven services. This role involves providing GEN AI Product capabilities, including Large Language Models (LLM) as a service, Knowledge Management Systems, Market Insights APIs, and Predictive Analytics APIs.

Key Responsibilities:

• Develop machine learning models and algorithms for personalized experiences and AI-driven services.
• Optimize machine learning pipelines using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deploy and manage models on AWS infrastructure.
• Provide GEN AI Product capabilities across teams, including LLM as a service, Knowledge Management Systems, Market Insights APIs, and Predictive Analytics APIs.
• Utilize AWS AI and ML services such as Amazon SageMaker, AWS Deep Learning AMIs, AWS Deep Learning Containers, AWS AI services (e.g., Amazon Rekognition, Amazon Comprehend, Amazon Lex), and Amazon Bedrock.
• Collaborate with data scientists, software engineers, and stakeholders to integrate solutions into production.
• Conduct data analysis and preprocessing to ensure high-quality input.
• Monitor and improve model performance based on feedback and new data.
• Stay updated with advancements in AI and machine learning technologies.

Qualifications

Qualifications

• AWS
• Machine learning
• Gen AI
• AWS Sagemaker
• AWS Bedrock
• Python

Additional Information

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.

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, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

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