Machine Learning Engineer (SAS Viya)

Surge Global
ContractColombo, Sri LankaUSD 600 - 1,200/month

Surge Global is a digital consultancy that leverages marketing, data, and technology to help businesses grow. As Sri Lanka’s leading digital firm, we employ the best content, creative, design & engineering talent the country has to offer.

Embracing a culture of transparency and equality in the workplace, we’ve built an environment helping Sri Lanka’s best marketing and creative talent thrive. Our team looks at untangling multivariate problems with an open mind and the willingness to constantly test and learn.

With our headquarters in Colombo Sri Lanka, we help scale startups to Fortune 500 companies across the United States, United Kingdom, Australia, and Sri Lanka.

** Please note that this is a 8-month contract position, extendable based on performance and project requirements

Responsibilities:

  • 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:

  • Bachelor’s 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

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