機器學習工程師 Machine Learning Engineer

Please provide an English resume for our review. Job Description: ● Machine Learning Model Development: Design, develop, and implement machine learning models and algorithms to address business challenges and improve performance across various domains such as marketing ● Data Analysis and Preprocessing: Analyze and preprocess large-scale datasets to extract meaningful insights and identify relevant features for model development. Cleanse transform, and normalize data to ensure data quality and consistency. ● Model Training and Evaluation: Implement and optimize machine learning models using appropriate frameworks and tools. Train models using supervised and unsupervised learning techniques, and evaluate their performance using statistical metrics and validation techniques. ● Collaborative Approach: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to understand business requirements and translate them into actionable machine learning solutions. ● Research and Innovation: Stay up-to-date with the latest advancements in machine learning, data science, and related fields. Continuously explore and evaluate new algorithms, methodologies, and tools to enhance the company's data capabilities and competitive advantage. ● Documentation and Reporting: Document all stages of the machine learning model development process, including data collection, preprocessing, model architecture, and evaluation results. Prepare reports and presentations to communicate findings and recommendations to both technical and non-technical stakeholders.