Senior Machine Learning Engineer Ii

17 hours ago

Singapore Pluang Full time

**Senior Machine Learning Engineer II**:
Pluang Technologies Pte. Ltd., Singapore, Singapore, Singapore
- Capability
- N.A.
- Department
- Machine Learning
- Job posted on
- Aug 28, 2025
- Employee Type
- Full Time
- Experience range (Years)
- 0 - 0

**What You Will Be Doing**:

- Design and implement machine learning solutions for financial markets, ranging from predictive models to autonomous AI agents powered by LLMs- Develop intelligent systems using both traditional ML approaches (time series analysis, anomaly detection, pattern recognition) and modern agentic frameworks (LangChain, reasoning loops, tool orchestration) Build end-to-end ML pipelines for model development, backtesting, and production deployment with robust monitoring and evaluation frameworks- Create research platforms that enable rapid experimentation with both classical statistical models and LLM-based approaches for financial analysis- Collaborate with traders, quants, and researchers to translate complex financial problems into scalable ML solutions
- Develop risk assessment and portfolio optimization systems using a combination of traditional quantitative methods and AI-driven approaches

**What You Need to Be Successful in This Role**:

- We welcome all applicants who are eligible to work in Singapore.**Bachelor's or Master's degree** in Computer Science, Machine Learning, Statistics, Mathematics, Physics, Financial Engineering, or related quantitative field**3+ years of experience** in machine learning engineering, quantitative research, or data science with production systems**Strong programming skills** in Python with expertise in scientific computing libraries (pandas, numpy, scikit-learn) and ML frameworks**Experience with diverse ML techniques** including supervised/unsupervised learning, deep learning, time series forecasting, and statistical modeling**Familiarity with Large Language Models** and modern AI techniques, including prompt engineering, fine-tuning, and agentic systems is highly valued-
**Experience with data mining and feature engineering** from large, complex datasets**Problem-solving mindset** with ability to work independently and in fast-paced, results-oriented environments**Good communication skills** to present technical findings to both technical and non-technical stakeholders**Knowledge of financial markets, trading systems, or quantitative finance** is a plus but not required - we value strong technical skills and learning ability
- ** Experience with backtesting frameworks, risk modeling, or portfolio optimization** is beneficial

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