Senior Machine Learning Engineer (SAS Viya) (8 months contract)
# Senior Machine Learning Engineer (SAS Viya) (8 months contract) **George Bernard Consulting** · Sri Lanka · `Remote` · `Contractor` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[Data-Scientist]` `[Applied-Data-Scientist]` `[Senior-ML-Engineer]` `[Senior-AI-ML-Engineer]` --- ### About the 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
- Machine-Learning-Engineer
- Data-Scientist
- Applied-Data-Scientist
- Senior-ML-Engineer
- Senior-AI-ML-Engineer
Наблюдалась 2026-10-04, впервые 2026-10-03, источник — Himalayas (JSON API).