AI/ML Data Scientist
First seen by Alion on Sep 5, 2026.
About the Role :
We are seeking an experienced AI/ML Data Scientist to design, build, and deploy machine learning solutions for large-scale payment platforms. The ideal candidate will leverage advanced analytics, machine learning, and AI technologies to address business-critical challenges including fraud detection, risk scoring, authorization optimization, anomaly detection, and transaction monitoring.
Key Responsibilities :
Machine Learning & Model Development :
- Real-time fraud detection
- Card-not-present (CNP) risk scoring
- Authorization approval/decline optimization
- Merchant risk assessment
- Chargeback and dispute prediction
- AML and transaction anomaly detection
MLOps & Production Engineering :
- Deploy machine learning models in real-time and batch processing environments.
- Implement model monitoring, drift detection, performance tracking, and retraining strategies.
- Establish MLOps best practices including model versioning, CI/CD pipelines, reproducible training workflows, and A/B testing frameworks.
AI & Generative AI Applications :
- Utilize modern AI and LLM technologies (Claude, GPT, etc.) to enhance data science workflows.
- Develop AI-driven solutions for feature discovery, automated reporting, anomaly interpretation, and analyst productivity.
Required Skills :
Tech Stack : Python, Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, SQL, AWS/Azure/GCP, Spark, Airflow.
- 10+ years of overall IT experience with at least 3+ years in Data Science or Machine Learning roles.
- Strong understanding of imbalanced datasets and fraud detection techniques.
- Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative disciplines.
Skills
Artificial Intelligence, Machine Learning, Data Science, Data Scientist, MLOps, Generative AI, LLM, GPT, Python, PyTorch, Tensorflow