Experian - Machine Learning Engineer

Note : If shortlisted, you will be invited for initial rounds on 8th November'25 (Saturday) in 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.

Youll be expected to own the full ML lifecycle from problem framing and experimentation to deployment, monitoring, and continuous Responsibilities :

1. Business-Aligned ML Engineering

• Collaborate with product and analytics teams to identify high-impact personalization and

automation opportunities.

(e.g., classification, ranking, recommendation, summarization).

model and architecture choices.

2. Model Development & Optimization

of pre-trained LLMs.

3. LLM Integration & Extension

and vector databases (e.g., FAISS, Pinecone).

conversational personalization using retrieval-augmented generation (RAG) pipelines.

4. Productionization & Deployment

APIs using FastAPI or Flask.

5. Performance Monitoring & Governance

Registry, SHAP, and LIME.

6. MLOps & Automation

CI / CD tools like GitHub Actions, CodePipeline, and Terraform.

security and privacy standards.

7. Core ML Algorithms & Techniques

Boosting (XGBoost, LightGBM)

Models

(ref : hirist.tech)