Ajeya B Jois

Senior ML Scientist | Generative AI, RAG & LLM Agents | High-Scale ML Systems & MLOps | Ex-PayPal, Oracle, Qualcomm

Role
Senior Ml Scientist 3 at PayPal
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers
Research & DevelopmentView LinkedIn profile

About Ajeya B Jois

Senior Machine Learning Scientist with 7 years of experience architecting high-scale, low-latency ML Systems & GenAI Solutions. Expert in bridging Classical ML (XGBoost, PySpark) with LLM Agents (RAG) to drive automationand decision intelligence. Proven track record of deploying production models processing millions of transactions/day, delivering $12M–$18M in annual business impact. Deep expertise in MLOps, Model Explainability, and System Design.Proficient Programming Languages: C/C++, Python, JavaScript, SQLTools: Applied Machine Learning, Applied Deep Learning, Data Analytics, Data Visualization, Applied Mathematics, Applied Statistics, Time Series Forecasting, Linear Algebra, Text Analytics, Natural Language Processing, LLM Fine Tuning, Generative AI, Data Structures and Algorithms, Regression Techniques, Classification Techniques, Clustering TechniquesTechnologies: Numpy, Pandas, SciPy, Scikit-learn, NLTK, Pyspark, Llama3, Mistral, Django, Flask

Experience

  1. Senior Ml Scientist 3

    PayPal

    Jan 2025 — Present · Bengaluru, IN

    Architected a high-precision Fraud Detection Engine (XGBoost) for high-risksegments, achieving +30% recall lift and cutting chargeback losses by$12M–$18M/year-> Developed a GenAI RAG Assistant (LangChain/OpenAI) to query SQL DBs vianatural language, reducing ad-hoc requests by 65% and boosting analystvelocity 2.5x-> Engineered scalable PySpark pipelines processing millions oftransactions/day, reducing manual fraud investigation workload by ~20%through automated risk scoring-> Deployed Explainable AI (XAI) frameworks using SHAP to satisfy regulatoryaudits, increasing model transparency for risk stakeholders-> Established MLOps standards with MLflow and Airflow for real-time driftdetection, ensuring consistent performance across evolving fraud patterns

Education

  • Sri Aurobindo PU College Javalli

    12th, PCMS

  • Sri Jayachamarajendra College of Engg., MYSORE

    Bachelor of Engineering, None

    2015 — 2019

  • Birla Institute of Technology and Science, Pilani

    Master's degree, Data Science

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Ajeya B Jois — Senior Ml Scientist 3 at PayPal in Bengaluru, KA, IN | Unifers