Senior Machine Learning Developer - Singapore - TECHNOLOGY SERVICES GROUP PTE. LTD.

    TECHNOLOGY SERVICES GROUP PTE. LTD.
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    Description
    Roles & Responsibilities

    Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

    Responsibilities:

    • Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
    • Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
    • Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
    • Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
    • Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

    Qualifications:

    • Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
    • Experience: 5+ years of experience in machine learning.
    • Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
    • Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
    • Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
    • Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

    Preferred Qualifications:

    • Experience with time-series analysis and forecasting.
    • Familiarity with cloud computing platforms like AWS, Azure, etc.
    • Knowledge of financial industry and working with big data.

    Benefits:

    • Competitive salary and performance-based incentives.
    • Dynamic and collaborative working environment.
    • Comprehensive benefits package, including healthcare.
    • Continuous learning and professional growth opportunities.
    Tell employers what skills you have

    TensorFlow
    Machine Learning
    Forecasting
    Data Analysis
    Azure
    Big Data
    Cloud Computing
    Healthcare
    Mathematics
    Financial Acumen
    Economics
    NLP
    PyTorch
    Predictive Modeling
    Trading Strategies