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

• Design, develop, and deploy production-grade machine learning models for financial and taxation use cases • Build and maintain scalable ML pipelines using SAS Viya and Python-based ML frameworks • Lead feature engineering and data preprocessing for structured financial and taxation datasets • Train, tune, and validate ML models with a strong focus on accuracy, stability, and explainability • Implement model monitoring, performance tracking, and drift detection mechanisms • Collaborate with architects, data engineers, and domain experts to integrate ML models into enterprise systems • Ensure ML solutions meet regulatory, compliance, and audit requirements • Conduct code reviews and enforce ML engineering and software development best practices • Mentor junior ML engineers and contribute to technical decision-making • Support continuous improvement of ML models and platforms Requirements• Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field • 5+ years of hands-on experience in machine learning or applied data science • Experience working with financial, taxation, risk, or compliance-related data • Strong hands-on experience with SAS Viya • Strong proficiency in Python with ML libraries such as Scikit-learn, TensorFlow, or PyTorch • Solid understanding of supervised and unsupervised learning, feature engineering, and model evaluation • Experience with SQL and relational databases in financial environments • Hands-on experience with ML model deployment, monitoring, and MLOps workflows • Exposure to cloud platforms such as AWS, Azure, or GCP • Familiarity with Spark or distributed data processing is a plus