AI ML Engineer

Role Overview

We are seeking a Machine Learning Engineer to join a high-impact team within Experian Consumer Services (ECS) , focused on building scalable, reusable AI capabilities that power personalized financial experiences for millions of users. This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and product thinking .

You will work closely with product managers , data scientists , platform engineers , and UX teams to understand consumer needs, define ML-driven solutions, and deliver production-grade AI services such as LLM-as-a-Service , enterprise knowledge orchestration , predictive intelligence APIs , and personalized decisioning engines .

Success in this role requires not only strong technical skills but also the ability to evaluate trade-offs , select the right models and tools , and align ML solutions with business goals . You’ll be expected to own the full ML lifecycle—from problem framing and experimentation to deployment, monitoring, and continuous improvement.

Key Responsibilities 1. Business-Aligned ML Engineering

• Collaborate with product and analytics teams to identify high-impact personalization and automation opportunities.
• Translate business problems into ML use cases, selecting appropriate modeling techniques (e.g., classification, ranking, recommendation, summarization).
• Evaluate trade-offs between accuracy, interpretability, latency, and scalability to guide model and architecture choices.

2. Model Development & Optimization

3. LLM Integration & Extension

4. Productionization & Deployment

5. Performance Monitoring & Governance

6. MLOps & Automation

7. Core ML Algorithms & Techniques

Qualifications