[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-260921-105":53,"doc-detail-260921-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","artificial-intelligence-jobs-handout-machine-learning-engineers-and-data-career-paths","Artificial Intelligence Jobs Handout - Machine Learning Engineers and Data Career Paths","","An AI career overview describing key job roles across the machine learning pipeline, from machine learning engineers and data scientists to business intelligence developers, research scientists, big data engineers, and AI software engineers. It outlines the core responsibilities of each role, the typical qualifications and tool familiarity expected, and common programming or platform skills such as Python, Java, cloud and Hadoop ecosystems. It also summarizes reported average salary ranges and how experience impacts compensation.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":16,"@type":70,"position":76},"https://docshare.wps.com/template/resumes/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/artificial-intelligence-jobs-handout-machine-learning-engineers-and-data-career-paths/260921/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/artificial-intelligence-jobs-handout-machine-learning-engineers-and-data-career-paths/260921.png","ImageObject",442,249,{"name":88,"@type":89},"Emma Wilson","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-27","2026-09-14",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",7,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What skills are most important for machine learning engineer jobs?","Question",{"text":109,"@type":110},"Machine learning engineer roles typically require strong mathematical ability, experience with machine learning/deep learning/neural networks, cloud application experience, and programming skills such as Java and Python.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What qualifications are expected for data scientists?",{"text":114,"@type":110},"Data scientists are generally expected to have an advanced degree (statistics, mathematics, or computer science) and experience with unstructured data analysis and statistical methods, plus programming skills such as Python, SQL, and related tools.",{"name":116,"@type":107,"acceptedAnswer":117},"How do business intelligence developers differ from data analysts?",{"text":118,"@type":110},"Business intelligence developers focus on designing, modeling, and maintaining complex data in cloud-based platforms so business users can use dashboards, rather than creating reports themselves.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},260921,1791453361,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":15,"category_name":16,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":101,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":76},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Artificial Intelligence Jobs  \nMachine Learning Engineers  \nMachine learning engineers are at the intersection of software engineering and data science. They leverage big data tools and programming frameworks to create production-ready scalable data science models that can handle terabytes of real-time data.  \nMachine learning engineer jobs are best for anyone with a background that combines data science, applied research, and software engineering. AI jobs seek applicants with strong mathematical skills, experience in machine learning, deep learning, neural networks, and cloud applications, and programming skills in Java, Python  \nThe average salary of a machine learning engineer in the US is $131,000 .  \nData Scientists  \nData scientists collect data, analyze it, and glean insights for a wide range of purposes. They use various technology tools, processes, and algorithms to extract knowledge from data and identify meaningful patterns. This could be as basic as identifying anomalies in time-series data or complex as predicting future events and making recommendations. The primary qualifications expected of a data scientist are:  \n• Advanced degree in statistics, mathematics, computer science, etc.  \n• Understanding of unstructured data and statistical analysis  \n• Experience with cloud tools like Amazon S3 and the Hadoop platform  \n• Programming skills with Python, Perl, Scala, SQL, etc.  \n• Working knowledge of Hive, Hadoop, MapReduce, Pig, Spark, etc.  \nThe average salary of a data scientist is $105,000 .  \nBusiness Intelligence Developers  \nBusiness intelligence (BI) developers process complex internal and external data to identify trends. For instance, in a financial services company, this could be someone monitoring stock market data to help make investment decisions. In a product company, this could be someone monitoring sales trends to inform distribution strategy.  \nHowever, unlike a data analyst, business intelligence developers don’t create the reports themselves. They are typically responsible for designing, modeling, and maintaining complex data in highly accessible cloud-based data platforms for business users to use the dashboards. The qualifications expected of a BI developer are:  \n• Bachelor’s degree in engineering, computer science, or a related field  \n• Hands-on experience in data warehouse design, data mining, SQL, etc.  \n• Familiarity with BI technologies like Tableau, Power BI, etc.  \n• Strong technical and analytical skills  \nBusiness intelligence developers earn an average salary of $86,500, going up to $130,000 with experience.  \nResearch Scientist  \nThe research scientist role is one of the most academically-driven AI careers. They ask new and creative questions to be answered by AI. They are experts in multiple disciplines in artificial intelligence, including mathematics, machine learning, deep learning, and statistics. Like data scientists, researchers are expected to have a doctoral degree in computer science.  \nHiring organizations expect research scientists to have extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing. Knowledge of benchmarking, parallel computing, distributed computing, machine learning, and artificial intelligence are a plus.  \nResearch scientists are in high demand and command an average salary of $99,800 .  \nBig Data Engineer  \nBig data engineers and architects develop ecosystems that enable various business verticals and technologies to communicate effectively. Compared to data scientists, this role can feel more  \ninvolved, as big data engineers and architects typically are tasked with planning, designing, and developing big data environments on Hadoop and Spark systems.  \nMost companies prefer professionals with a Ph.D. in mathematics, computer science, or related fields. However, as a more practical role than that of, say, a research scientist, hands-on experience is often treated as a good s","cbCaihbrC2iGzSmE","https://ap.wps.com/l/cbCaihbrC2iGzSmE","pdf",360938,"English","# Artificial Intelligence Jobs\n## Machine Learning Engineers\n## Data Scientists\n## Business Intelligence Developers\n## Research Scientist\n## Big Data Engineer\n## Software Engineer\n## Software Architects","[{\"question\":\"What skills are most important for machine learning engineer jobs?\",\"answer\":\"Machine learning engineer roles typically require strong mathematical ability, experience with machine learning/deep learning/neural networks, cloud application experience, and programming skills such as Java and Python.\"},{\"question\":\"What qualifications are expected for data scientists?\",\"answer\":\"Data scientists are generally expected to have an advanced degree (statistics, mathematics, or computer science) and experience with unstructured data analysis and statistical methods, plus programming skills such as Python, SQL, and related tools.\"},{\"question\":\"How do business intelligence developers differ from data analysts?\",\"answer\":\"Business intelligence developers focus on designing, modeling, and maintaining complex data in cloud-based platforms so business users can use dashboards, rather than creating reports themselves.\"}]","Artificial Intelligence Jobs Handout - Machine Learning Engineers and Data Career Paths | PDF",1789347539]