What are the responsibilities and job description for the AI Scientist Consumer Risk & Fraud *** Direct End Client position at Projas Technologies, LLC?
Job Details
We re seeking a seasoned AI Scientist to lead the development of advanced fraud detection and credit risk models for next-generation financial products. This role combines deep technical expertise with strategic thinking to build scalable, production-ready AI solutions that safeguard money movement systems and lending platforms.
What You ll Do
- Own the end-to-end lifecycle of fraud risk models from design and development to deployment and monitoring.
- Build efficient data pipelines for feature engineering, model training, scoring, and reporting using Python and SQL.
- Apply cutting-edge machine learning techniques (deep learning, tree-based models, NLP, time series, causal inference) to detect fraud patterns.
- Collaborate with product, engineering, and risk teams to align models with business objectives and compliance standards.
- Ensure model fairness, interpretability, and regulatory compliance in all deployments.
- Research and implement innovative AI/ML approaches to improve detection accuracy and scalability.
- Contribute to MLOps best practices, including automated retraining, monitoring, and version control.
Required Qualifications
- Advanced degree (MS/PhD) in Computer Science, Data Science, AI, Statistics, or related field.
- 6 years of experience in AI/ML model development and deployment.
- Strong proficiency in Python and SQL.
- Expertise in fraud risk modeling, credit risk, and financial transaction systems.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS or Google Cloud Platform).
- Deep understanding of model calibration, bias correction, and graph-based fraud detection.
- Proven ability to design scalable pipelines and work in agile environments.
Preferred Skills
- Experience with Vertex AI, SageMaker, or similar MLOps platforms.
- Familiarity with workflow orchestration tools (Apache Airflow).
- Strong background in A/B testing and statistical experimentation.
Why This Role Matters
You ll be solving complex, high-impact problems that protect customers and enable secure financial transactions. If you thrive in fast-paced environments and love applying AI to real-world challenges, this is your opportunity to make a measurable difference.
AI Scientist, Machine Learning Engineer, Fraud Detection, Credit Risk Modeling, Python, SQL, TensorFlow, PyTorch, Deep Learning, NLP, Time Series Analysis, MLOps, Vertex AI, SageMaker, Apache Airflow, Big Data, Financial Risk, Cloud Computing, AWS, Google Cloud Platform, Data Pipelines, Model Deployment, Risk Analytics, Graph Analysis, Fraud Prevention, Fintech AI, Predictive Modeling, Statistical Analysis, CI/CD, Kubernetes, Data Engineering