Machine Learning Engineer (SAS Viya) (8 months contract)

Develop and implement machine learning models for financial and taxation applications Collect, clean, preprocess, and transform structured financial datasets for modeling Train, evaluate, and optimize ML models using SAS Viya and Python-based libraries Assist in building and maintaining ML pipelines and workflows Perform exploratory data analysis to identify patterns, trends, and insights Support model deployment, monitoring, and performance optimization Collaborate with cross-functional teams to integrate ML models into production systems Maintain clean, well-documented, and testable code Follow ML engineering, data governance, and compliance best practices Continuously learn and apply new ML techniques relevant to financial analytics Requirements Bachelors degree in Computer Science, Data Science, Engineering, Statistics, or a related field 3+ years of hands-on experience in machine learning or applied data science Experience or exposure to financial, taxation, or accounting-related data Hands-on experience with SAS Viya Proficiency in Python and ML libraries such as NumPy, Pandas, and Scikit-learn Understanding of core machine learning concepts, model evaluation, and feature engineering Good knowledge of SQL and relational databases Basic understanding of ML deployment and MLOps concepts is a plus Strong analytical, problem-solving, and communication skills