徵才資訊
Responsibilities and Tasks: - Work with an international team of data scientists, data engineers, software engineers, process and equipment engineers, process integration engineers, yield enhancement engineers, R&D, etc. in a collaborative manner to develop new data science solutions that improve quality, improve yield, reduce deviations, improve manufacturing cycle time, reduce cost, extend manufacturing capabilities, etc. - Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, visualization, etc. to discover insightful patterns in the dataset - Work on projects and develop solutions that would be of high impact in various areas such as Fabrication plant, Assembly and Test and Procurement etc - Work closely with IT and Supplier on data management, taking an idea, access and prepare necessary data, work with data scientists to create machine learning models, develop it to an application with intuitive user interface, integrate with any pre-existing systems, demonstrate successful use cases and wins, etc. - Developing new or enhancing prior data acquisition and ETL pipelines from various sources into big data ecosystem. - Developing responsive design web interface for result visualization and user interaction - Working with various scientific data such as equipment sensor data and logs, image and various types of signals, manufacturing process data, etc. to extract meaningful information for analytics - Creating intuitive user interface for interactive data visualization to explain insights from data
What we are looking for: - B.S/M.S degree in Science, Computer Science, Industrial Engineering or any other engineering discipline with extensive programming exposure - Good hands on programming experience (eg Java, C++, python, etc) - Strong communication skills (written, verbal and presentation) - Willing to travel and enjoy working in diverse environment - Any exposure to below will be advantageous 1. Cloud ecosystem (Google Cloud, AWS, Microsoft Azure) and cloud computing tools (Dataproc, Dataflow, etc) 2. ETL, Database (MS SQL, Oracle, MySQL, Snowflake, BigQuery, CloudSpanner etc.) 3. Image processing (OpenCV, Python PIL, scikit-image, etc.) 4. Web Development (Angular, typescript, css, Node.js, etc) 5. Mobile app development (Ionic framework, apache cordova, etc)
Responsibilities and Tasks: - Build and maintain data/solution pipelines that feed machine learning models - Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence - Design and optimize data structures in data management systems (Hadoop, Snowflake, and Cloud platforms) to enable AI/ML solutions. - Build custom software components and analytics applications - Create/Maintain CI/CD pipelines of machine learning solutions in the cloud
What we are looking for: - Experience in building and executing end-to-end ML systems automating training, testing and deploying Machine Learning models - Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.) - Familiarity with software architecture (data structures, data schemas, etc.). - Software development skills and the desire to work on cutting edge development in a Cloud environment - Strong scripting and programming skills in one of the following, Python or Java - Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes) - Experience developing Machine Learning or A.I. solutions with either Python, AWS, AZURE, GCP - 3+ years building scalable ETL pipelines - 3+ years of experience with big data processing and/or developing applications and data sources - 3+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery) - Outstanding analytical thinking, interpersonal, oral and written communication skills - Proficiency in the Microsoft Office suite - Ability to prioritize and meet critical project timelines in a fast-paced environment - Self-motivated and team oriented
Responsibilities and Tasks: - Clarify project requirements and deliverables - Collaborate with Key project partners, Solution analyst and Architect on project needs and translate requirements into technical needs - Identify and understand the data sources that are relevant for analysis - Become a subject matter expert in company data sources and visualization options - Consolidate the requirements and using data engineering skills to design a robust DataMart - Participate in design, architecture review and deployment of Big data and cloud data warehouse solutions - Design for automation and monitoring mechanism in a continuous integration environment - Implement solutions that eliminate or minimize technical debt through a well-designed architecture, data model, and lifecycle - Bring together and share best-practice knowledge among the data engineering community - Work with OPS team through operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities. - Collaborate with business partners and other teams to ensure data solutions are available, recover from failures and operate healthy
What we are looking for: - B.S. degree and above in Computer Science or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics) - 3+ years of experience working with Big Data Solutions development - 3+ years using ETL tools (NiFi, Informatica, SSIS, Spark…etc) - 3+ years developing with relational databases (MS SQL, Oracle, MySQL…etc) - 1+ years developing with Machine Learning, Data Analysis Knowledge/Skills - Strong application development skills and proficiency with Python, Java, Base shell, SQL…etc - Strong developing applications with Hadoop Eco. Such as Hive, Spark, Kafka, HBase - Experience with Cloud services such as GCP, AWS, Snowflake - Experience with designing data monitoring dashboards by using Splunk, Tableau or any others visualization tools - Experience with web-applications/technologies development and deployment (RESTful services, Flask, - Django, SpringBoot and ASP.net…etc) - Knowledge about container services such as Docker, Kubernetes, OpenShift is a plus - A passion for data and information with strong analytical, problem solving, and organizational skills - The ability to work in a dynamic, fast-paced, work environment - Self-motivated with the ability to work under minimal supervision - On-call support for escalated ticketing handling is expected for customer service - Good communication skills in English or TOEIC 650 and above