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 Originally posted on Himalayas