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

Sri Lanka·Colombomid

Machine Learning EngineerData

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Quick Summary

Overview

Develop and implement machine learning models for financial and taxation applications Collect, clean, preprocess, and transform structured financial datasets for modeling Train, evaluate,

Technical Tools

Machine Learning EngineerData

Develop and implement machine learning models for financial and taxation applications
Collect, clean, preprocess, and transform structured financial datasets for modeling
Train, evaluate, and optimize ML models using SAS Viya and Python-based libraries
Assist in building and maintaining ML pipelines and workflows
Perform exploratory data analysis to identify patterns, trends, and insights
Support model deployment, monitoring, and performance optimization
Collaborate with cross-functional teams to integrate ML models into production systems
Maintain clean, well-documented, and testable code
Follow ML engineering, data governance, and compliance best practices
Continuously learn and apply new ML techniques relevant to financial analytics

Requirements

~1 min read

Bachelors degree in Computer Science, Data Science, Engineering, Statistics, or a related field
3+ years of hands-on experience in machine learning or applied data science
Experience or exposure to financial, taxation, or accounting-related data
Hands-on experience with SAS Viya
Proficiency in Python and ML libraries such as NumPy, Pandas, and Scikit-learn
Understanding of core machine learning concepts, model evaluation, and feature engineering
Good knowledge of SQL and relational databases
Basic understanding of ML deployment and MLOps concepts is a plus
Strong analytical, problem-solving, and communication skills