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

About this role

• 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