Urgent! AI/ML Engineer - Data Modeling Job Opening In Hyderabad – Now Hiring Experian
<p><p><b>Role Overview.</b><br/><br/> 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.<br/><br/> This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and product thinking.<br/><br/> 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.<br/><br/> 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.<br/><br/> Youll be expected to own the full ML lifecyclefrom problem framing and experimentation to deployment, monitoring, and continuous improvement.<br/><br/> <b>Key Responsibilities ML Engineering : </p><p><br/></p><p>- Collaborate with product and analytics teams to identify high-impact personalization and automation opportunities.</p><p><br/></p> - Translate business problems into ML use cases, selecting appropriate modeling techniques </p><p>(e.g., classification, ranking, recommendation, summarization).<br/><br/></p><p> - Evaluate trade-offs between accuracy, interpretability, latency, and scalability to guide model </p><p>and architecture choices.<br/><br/></p><p>Model Development & Optimization : </p><p><br/></p><p>- Design and implement ML models using Python and frameworks like scikit-learn, XGBoost, TensorFlow, and PyTorch.</p><p><br/></p><p> - Apply advanced techniques such as feature selection, regularization, hyperparameter tuning </p><p>(Grid Search, Bayesian Optimization), and ensemble learning.<br/><br/></p><p> - Leverage transfer learning, fine-tuning, and prompt engineering to extend the capabilities of pre-trained LLMs.<br/><br/></p><p>LLM Integration & Extension : </p><p><br/></p><p>- Build and operationalize LLM-based services using Amazon Bedrock, LangChain, and vector databases (e.g., FAISS, Pinecone).<br/><br/></p><p> - Develop use cases such as intelligent summarization, contextual recommendations, and conversational personalization using retrieval-augmented generation (RAG) & Deployment : </p><p><br/></p><p>- Package and deploy models using Amazon SageMaker, SageMaker Inference Pipelines, AWS Lambda, and Kubernetes.<br/><br/></p><p> - Build containerized ML services and expose them via secure, versioned RESTful APIs using FastAPI or Flask.<br/><br/></p><p> - Integrate models into real-time and batch workflows, ensuring reliability and scalability.<br/><br/></p><p>Performance Monitoring & Governance :</p><p><br/></p><p>- Implement robust evaluation pipelines using metrics like AUC-ROC, F1-score, Precision/Recall, Lift, and RMSE, aligned with product KPIs.<br/><br/></p><p> - Monitor model drift, data quality, and prediction stability using tools like Evidently AI, SageMaker Model Monitor, and custom telemetry.<br/><br/></p><p> - Ensure model explainability, auditability, and compliance using MLflow, SageMaker Model Registry, SHAP, and LIME.<br/><br/></p><p>MLOps & Automation : </p><p><br/></p><p>- Automate end-to-end ML workflows using SageMaker Pipelines, Step Functions, and CI/CD tools like GitHub Actions, CodePipeline, and Terraform.<br/><br/></p><p> - Collaborate with platform engineers to ensure reproducibility, scalability, and adherence to security and privacy standards.<br/><br/></p><p>Core ML Algorithms & Techniques : </p><p><br/></p><p>- Supervised Learning : Logistic Regression, Decision Trees, Random Forests, Gradient Boosting (XGBoost, LightGBM).<br/><br/></p><p> - Unsupervised Learning : K-Means, DBSCAN, PCA, t-SNE.<br/><br/></p><p> - Deep Learning : CNNs, RNNs, Transformers (BERT, GPT), Autoencoders.<br/><br/></p><p> - Recommendation Systems : Matrix Factorization, Neural Collaborative Filtering, Hybrid </p><p>Models.<br/><br/></p><p> - NLP : Text Classification, Named Entity Recognition, Embeddings, RAG.<br/><br/></p><p> - Time Series Forecasting : ARIMA, Prophet, LSTM.<br/><br/></p><p> - Evaluation & Tuning : Cross-validation, Hyperparameter Optimization, A/B Testing.<br/><br/> <b>Qualifications :</b></p><p><br/></p><p>- Generative AI.</p><p><br/></p><p>- Applied Machine Learning & Deep Learning.<br/><br/></p><p> - Software Engineering Best Practices (SOLID, Design Patterns, CI/CD).<br/><br/></p><p> - Advanced Python Development.<br/><br/></p><p> - Cloud-Native ML Engineering (AWS SageMaker, Bedrock, etc.<br/><br/></p><p> - MLOps & Model Lifecycle Management.<br/></p><br/></p> (ref:hirist.tech)
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your AI ML Potential: Insight & Career Growth Guide
Real-time AI ML Jobs Trends in Hyderabad, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AI ML in Hyderabad, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 117245 jobs in India and 2745 jobs in Hyderabad. This comprehensive analysis highlights market share and opportunities for professionals in AI ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Experian is currently hiring and seeking a AI/ML Engineer Data Modeling to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: AI/ML Engineer Data Modeling Jobs Hyderabad.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Experian adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AI/ML Engineer Data Modeling Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AI/ML Engineer Data Modeling typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for AI/ML Engineer Data Modeling, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AI/ML Engineer Data Modeling interview at Experian, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Experian's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for AI/ML Engineer Data Modeling is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!