AI Developer

Kuala Lumpur
Research & Development – New Product /
Full time /
On-site
We are seeking a talented Machine Learning Engineer (MLE) to join our team. The MLE will be responsible for developing and implementing machine learning models and algorithms. The ideal candidate should have a strong understanding of a wide variety of altos like Naive Bayes, and K Nearest Neighbors (KNN), and experience in setting up data hub pipelines, including producer-consumer architecture. Familiarity with external A/B testing tools and GORSE.

RESPONSIBILITIES

    • Develop and implement machine learning models and algorithms, with a focus on Naive Bayes and K Nearest Neighbors (KNN) for various projects.
    • Design and set up data hub pipelines using a producer-consumer architecture, ensuring efficient and scalable data processing.
    • Collaborate with data engineers to ensure the availability, reliability, and performance of data pipelines, ensuring high-quality data for machine learning models.
    • Utilize external A/B testing tools to evaluate and optimize model performance, and provide insights and recommendations based on the results.
    • Work closely with the product and engineering teams to understand business requirements and translate them into data-driven solutions.
    • Implement and optimize GORSE to improve the accuracy and efficiency of recommendation algorithms.
    • Stay up-to-date with the latest trends and advancements in machine learning, data engineering, and related technologies, and apply them to enhance our models and systems.

REQUIREMENTS

    • Bachelor's or higher degree in Computer Science, Data Science, or a related field.
    • Solid understanding and practical experience with the implementation of predictive algorithms.
    • Proficiency in setting up data hub pipelines using a producer-consumer architecture.
    • Familiarity with external A/B testing tools to evaluate and optimize machine learning models.
    • Experience with GORS (Generalized Online Recommendation System) implementation and optimization.
    • Strong programming skills in languages such as Python or R, along with experience with relevant frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Proficient in SQL/NoSQL, and which is more importantly the grasp of difference.
    • Strong analytical and problem-solving skills, with the ability to analyze complex data sets and derive actionable insights.
    • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.

ADDED ADVANTAGE

    • Master's or PhD degree in Computer Science, Data Science, or a related field.
    • Experience with big data technologies and distributed computing frameworks (familiar with services like AWS Sage Maker, and Google AutoML).
    • Knowledge of cloud platforms and services (e.g., AWS, Google Cloud).
    • Familiarity with deep learning algorithms and frameworks.
    • Experience in deploying and managing machine learning models in production environments.
    • Preferred industry experience in gaming or e-commerce.
    • Specific skill in rapid prototyping and agile development methodologies.
    • Familiarity with the latest trends in AI and machine learning, especially as they apply to page optimization and conversion improvement.