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Job Profile: Engineering > ETS JOB SUMMARY The Principal Engineer is an expert in a particular field of engineering or within a particular sector. This role is experienced with leading design teams through full product development and into production. A Principal Engineer will be expected to demonstrate a level of expertise in a particular area that matches or exceeds the expertise of our customers. In addition, this role consults on system architectures, assesses technical requirements and competencies needed during quoting, and oversees design progressions during product developments. ESSENTIAL DUTIES AND RESPONSIBILITIES - Meets the requirements of a Lead Engineer in respect to expertise - Represents Jabil Engineering Services in technical customer discussions / meetings. - Works with Project Managers in the quoting process. - Provides technical input to help identify and solve project risks that may affect overall project plans and schedules. - Is expected to support the development and utilization of processes for design. - Mentors all engineering staff. - Stays abreast of the latest technology and techniques to provide designs that are competitive and cost effective. - Raises perception of Jabil’s acumen in the industry by authoring or presenting papers, articles, etc. - Associated with applicable industry trade groups/organizations, maintaining active membership and participation. - Works with Site Directors to define potential R&D project proposals that will help increase areas of competencies needed. - Leads the development and implementation of platform and product architectures in collaboration with senior technical staff. - Guides and oversee the development of system component requirements, interfaces, and specifications necessary to maintain the consistency and integrity of the architectures. - Manages product design and documentation at a system level. - Performs independent research and engineering studies. - Leads remote development teams. - Effectively consults on multiple projects in parallel. - Defines objectives of DOE, CPK analysis, Gage R&R studies, and other tools for group projects. - Develops IP Patents, Technical Publications or White Papers - May perform other duties and responsibilities as assigned. JOB QUALIFICATIONS KNOWLEDGE REQUIREMENTS LANGUAGE SKILLS Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. MATHEMATICAL SKILLS Ability to work with mathematical concepts such as probability and statistics, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. Ability to develop mathematical models of physical reality and solve them, then implement the results. EDUCATION & EXPERIENCE REQUIREMENTS - Masters degree in Engineering from an accredited four-year college or university - Minimum of 12+ years of related experience and/or training - Minimum of 2 years experience as a Lead Engineer - Specific requirements as defined by the market sector - Or an equivalent combination of education, training or experience AI data modeling engineer (Data mining) Job Responsibilities: 1. Understand industrial scenarios such as demand forecasting, predictive maintenance of equipment, fault diagnosis, life prediction, optimization of equipment process parameters, intelligent scheduling, and intelligent staffing. 2. Collaborate closely with various business departments including R&D, production, quality, procurement, planning, and logistics to deeply mine and analyze business data. 3. Analyze and clean industrial data, using statistical and machine learning methods to build mathematical models and solve practical problems. 4. Integrate business and algorithms, responsible for the development and implementation of algorithm model projects. Job Requirements: 1. Bachelor's degree or above in mathematics, statistics, computer science, or related fields, with more than 3 years of experience in data mining. 2. Solid foundation in statistics, machine learning, and deep learning; proficient in using statistical, machine learning, and deep learning methods to solve business problems. 3. Proficient in at least one advanced programming language such as Python, Java, or C++, and familiar with common algorithm frameworks like scikit-learn, Pytorch, Tensorflow, and Java ML. 4. Proficient in big data frameworks and related tools, such as Spark, Hadoop, and their ecosystem tools. 5. Proficient in complex database applications. 6. Good communication and self-motivation skills, strong data-driven thinking ability, and ability to work under pressure. 工作職責(zé)： 1、理解工業(yè)場(chǎng)景，像需求預(yù)測(cè)、設(shè)備預(yù)測(cè)性維護(hù)、故障診斷、壽命預(yù)測(cè)、設(shè)備工藝參數(shù)優(yōu)化、智能排產(chǎn)、智能排崗等； 2、與研發(fā)、生產(chǎn)、品質(zhì)、采購、計(jì)劃、物流等各業(yè)務(wù)部門密切合作，對(duì)業(yè)務(wù)數(shù)據(jù)進(jìn)行深度的挖掘和分析； 3、分析和清洗工業(yè)數(shù)據(jù)，運(yùn)用統(tǒng)計(jì)學(xué)、機(jī)器學(xué)習(xí)等方法構(gòu)建數(shù)學(xué)模型，解決實(shí)際問題； 4、實(shí)現(xiàn)業(yè)務(wù)與算法的融合，負(fù)責(zé)算法模型項(xiàng)目的開發(fā)和落地； 崗位要求: 1、本科及以上學(xué)歷，數(shù)學(xué)、統(tǒng)計(jì)、計(jì)算機(jī)等相關(guān)專業(yè)，3年以上數(shù)據(jù)挖掘工作經(jīng)驗(yàn)； 2、具備扎實(shí)的統(tǒng)計(jì)學(xué)、機(jī)器學(xué)習(xí)、深度學(xué)習(xí)的基礎(chǔ)；能夠熟練使用統(tǒng)計(jì)學(xué)、機(jī)器學(xué)習(xí)、深度學(xué)習(xí)等方法解決業(yè)務(wù)問題; 3、熟練掌握至少一種高級(jí)語言編程技術(shù)，如Python、Java、C++等，熟練應(yīng)用scikit-learn,Pytorch,Tensorflow、Java ML等常用算法框架,熟悉copilot等AI工具； 4、熟練掌握大數(shù)據(jù)框架和相關(guān)工具，如Spark、Hadoop等框架及生態(tài)工具； 5、熟練掌握數(shù)據(jù)庫的復(fù)雜應(yīng)用； 6、具備良好的溝通和自我驅(qū)動(dòng)力，對(duì)業(yè)務(wù)有良好的數(shù)據(jù)化思維能力、抗壓能力強(qiáng)。