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