[總部] 機器學習工程師 Machine Learning Engineer_0386
薪資範圍:NT$ 900,000 - 1,500,000 (年薪)
▍你需具有 1. You’re open-minded, proactive, a well team player, willing to take initiative and always love to learn new things 2. Work well in a fast-moving environment and effectively deliver solutions for complex requirements with quality 3. Familiar with Python or other programming languages 4. Solid understanding in machine learning / deep learning / statistics 5. Experience in at least one of the machine learning or deep learning frameworks (e.g. scikit-learn, PyTorch, TensorFlow, caffe, etc) ▍Tech stacks: 1. Airflow 2. Pyspark 3. BigQuery / Redis 4. Scikit-Learn / LightGBM / XGBoost / Pytorch / TensorFlow 5. FastAPI 我們是集團的策略長室團隊，目前正在積極尋找 Machine Learning 工程師 加入我們！ Gamania Data Center is an expanding entity deploying a large scale of user data source to assist our organization in having better insights of our customers and applying cutting-edge machine learning techniques in developing next generation products. As the leading role in the Entertainment industry, we focus on data sources in various fields, including Gaming, E-Commerce, Mobile Payment and Media. We have devoted ourselves to build an integrated infrastructure of big data analysis, recommendation systems and other machine learning applications including but not limited to image search, colorization, image-to-text, text-to-image and style transfer . Now we are proud to present our service broadly applied to different kinds of data sources and the target market. As a machine learning engineer at Gamania Data Center, you will work closely with product managers, software engineers, and business partners in Gaming, E-Commerce, Mobile Payment or Media. You will also be in charge of building data pipelines, machine learning modeling and applications deployment. Our mission is to provide industrial winning machine learning solutions to maintain Gamania’s industry leading dominance. Responsibilities: 1. Work with business stakeholders and software engineers to build and maintain data pipelines for machine learning modeling and data analysis 2. Cooperate with software engineers in system design, algorithm developments and solutions/applications deployment with the consideration of quality and latency trade-off 3. Develop new or enhance current data and ETL pipeline from various sources such as server log or content metadata into the big data ecosystem 4. Improve current machine learning solutions based on data analysis of online performance data 5. Conduct research in ML/DL techniques such as computer vision, natural language processing, recommendation system or graph neural network, and cooperate with other machine learning engineers and software engineers to productize the research ▍你將負責 1. Work with business stakeholders and software engineers to build and maintain data pipelines for machine learning modeling and data analysis 2. Cooperate with software engineers in system design, algorithm developments and solutions/applications deployment with the consideration of quality and latency trade-off 3. Develop new or enhance current data and ETL pipeline from various sources such as server log or content metadata into the big data ecosystem 4. Improve current machine learning solutions based on data analysis of online performance data 5. Conduct research in ML/DL techniques such as computer vision, natural language processing, recommendation system or graph neural network, and cooperate with other machine learning engineers and software engineers to productize the research公司地址:
台北市內湖區瑞湖街111號其他:
▍加分條件: 1. Hands-on experience in building scalable machine learning applications either in recommendation system, computer vision, or natural language processing fields 2. Experience in any kind of database query language (ex: SQL) 3. Experience with continuous integration and continuous delivery (CI/CD) tools (ex: Git, Docker, etc) 4. Experience in cloud ecosystem (GCP, AWS, Azure) and cloud computing tools (Dataproc, Bigquery, etc) 5. Experience in any big data framework (ex: Spark, Hadoop, etc) -2025-01-14