Senior Data Scientist

Machine Learning Engineer (FinTech) | Hybrid (Austin, TX) | $90–$120/hr | 6–12 months Role: Machine Learning Engineer (FinTech) Location: Hybrid – must be based in Austin, TX Rate / Salary: $90–$120 per hour (1099 contractor) Duration: 6–12 months (extension likely) Work Authorization: U.S. citizens/Green card holders Project Overview Join a fast-growing fintech company driving a major AI-led transformation. The focus is on building next-generation platforms for fraud detection, credit risk assessment, real-time decisioning, and financial forecasting. This initiative is replacing legacy, rule-based systems with machine learning-driven intelligence to enhance transaction monitoring, customer risk profiling, liquidity and demand forecasting, and payment decisioning across millions of daily events. Role Overview We’re seeking a Senior Machine Learning Engineer to lead the design, development, and deployment of real-time ML and forecasting solutions. You’ll collaborate closely with data engineers, platform teams, product owners, and compliance stakeholders to build scalable ML systems embedded directly into live fintech workflows. Skills & Responsibilities • 5+ years of experience in Machine Learning Engineering, AI Engineering, or Applied Data Science (experience in fintech, banking, payments, or financial services preferred). • Design, build, and productionize fraud detection, anomaly detection, transaction monitoring, credit risk, and forecasting models. • Develop time-series forecasting models for demand, liquidity, transaction volume, and customer behaviour prediction. • Build real-time and batch ML pipelines using Python, PySpark, and modern cloud-based data stacks. • Optimize models for high-volume, low-latency data (transactions, behavioural signals, device data). • Implement MLOps best practices including CI/CD, model versioning, monitoring, and retraining pipelines. • Work with streaming technologies such as Kafka. • Proficient in Python, SQL, PySpark, CI/CD, and Cloud platforms (AWS, GCP, Azure). • Excellent communication skills with both technical and business stakeholders. If this sounds like the right opportunity, please apply with an updated CV. Senior Machine Learning Engineer (FinTech) | Hybrid (Austin, TX) | $90–$120/hr | 6–12 months