**Machine Learning Engineer - Financial Services**
We are seeking a highly skilled Machine Learning Engineer with experience in building and deploying ML models in production environments.
* Design, develop, and maintain scalable ML infrastructure using Python, Airflow, and PySpark.
* Collaborate with data scientists and business stakeholders to implement machine learning solutions for fraud detection, risk assessment, and financial forecasting.
* Ensure data quality, reliability, and security across all data engineering workloads.
**Requirements**
The ideal candidate will have 3-5 years of experience in Machine Learning Engineering with a focus on financial services. Strong proficiency in Python programming and data processing frameworks (PySpark) is required. Experience with workflow orchestration tools, particularly Airflow, is also necessary.
* Strong understanding of containerization (Docker) and CI/CD pipelines.
* Knowledge of financial services or payment processing domain is highly desirable.
* Familiarity with data modeling and database systems (SQL and NoSQL).