Machine Learning Architect

Colombo - Sri Lanka

Monthly Salary: Not Disclosed

Posted on: 13 hours ago

Vacancies: 1 Vacancy

Job Summary

Define and own the end-to-end machine learning architecture for financial and taxation platforms
Design scalable secure and compliant ML solutions using SAS Viya and complementary ML technologies
Establish architectural standards best practices and governance frameworks for enterprise ML systems
Lead the design of data ingestion feature engineering model training deployment and monitoring pipelines
Ensure ML solutions comply with regulatory audit data privacy and risk management requirements
Define and enforce MLOps standards including model lifecycle management versioning explainability and performance monitoring
Collaborate with finance taxation compliance and risk stakeholders to translate business and regulatory needs into technical solutions
Review and approve ML designs pipelines and deployment strategies across teams
Evaluate and introduce new ML technologies and platforms aligned with enterprise and regulatory needs
Provide technical leadership and mentorship to senior ML engineers and teams

Requirements

Bachelors or Masters degree in Computer Science Data Science Engineering Statistics or a related field
8 years of experience in data analytics or machine learning roles with at least 4 years in architecture or technical leadership positions
Strong domain experience in financial services taxation risk or regulatory analytics
Extensive hands-on and architectural experience with SAS Viya
Deep understanding of machine learning algorithms statistical modeling and financial data analytics
Strong expertise in Python and ML libraries such as NumPy Pandas Scikit-learn TensorFlow or PyTorch
Proven experience with MLOps practices model governance explainable AI and risk controls
Experience designing and deploying ML solutions on cloud platforms such as AWS Azure or GCP
Strong SQL skills and experience working with large-scale financial datasets
Knowledge of big data or distributed processing frameworks such as Spark is an advantage

Define and own the end-to-end machine learning architecture for financial and taxation platformsDesign scalable secure and compliant ML solutions using SAS Viya and complementary ML technologiesEstablish architectural standards best practices and governance frameworks for enterprise ML systemsLead t...