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Machine Learning Engineer

2 months ago

Singapore RiceBowl Full time
Job Summary:

RiceBowl is seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our data science team, you will be responsible for designing, developing, and deploying machine learning models that drive business growth and innovation.

Key Responsibilities:
  • Model Development: Design and develop machine learning models and algorithms to solve complex business problems, leveraging your expertise in statistical analysis and software engineering.
  • Data Preprocessing: Clean, preprocess, and analyze large datasets to be used for training models, ensuring high-quality data that drives accurate results.
  • Feature Engineering: Identify and create meaningful features that improve model performance, driving business value through data-driven insights.
  • Model Training & Evaluation: Train machine learning models, tune hyperparameters, and evaluate their performance using appropriate metrics, ensuring models meet business needs.
  • Model Deployment: Deploy machine learning models to production environments, ensuring scalability and reliability, and monitoring performance to ensure continuous improvement.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to integrate machine learning models into existing systems, driving business outcomes through collaboration.
  • Research & Innovation: Stay updated with the latest advancements in machine learning, AI, and related fields, applying new techniques to improve existing models and processes, and driving innovation through data science.
  • Performance Monitoring: Monitor the performance of deployed models and update them as needed to ensure they continue to meet business needs, driving continuous improvement through data-driven insights.
  • Documentation: Document models, processes, and results for future reference and to ensure transparency, driving business value through data-driven decision-making.
Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • Experience: 2+ years of experience in machine learning, data science, or related roles, with hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Skills: Strong understanding of machine learning algorithms and techniques, proficiency in programming languages such as Python, R, or Java, and experience with data preprocessing, feature engineering, and model evaluation.
Preferred Qualifications:
  • Experience: Experience with big data technologies such as Hadoop, Spark, or Kafka, and knowledge of natural language processing (NLP) or computer vision.
  • Skills: Familiarity with cloud platforms such as AWS, Azure, or GCP, and knowledge of version control systems such as Git.