[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-263588-105":53,"doc-detail-263588-en":126},{"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":119,"head_meta":121,"extra_data":123,"updated_unix":125},105,"en","machine-learning-lead-engineer","Machine Learning Lead Engineer","","Lead Engineer position focused on architecture, design, and development of Machine Learning and Generative AI applications that streamline legal and business workflows. The role partners with the Manager of Machine Learning to lead key AI/ML initiatives, provide technical mentorship, and enforce best practices across the team. Ownership spans the end-to-end lifecycle—from translating R&D into production solutions through operationalization and ongoing support—while aligning technical implementations with business objectives through close collaboration with stakeholders and engineering teams.",{"@graph":63,"@context":118},[64,80,101],{"@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":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/machine-learning-lead-engineer/263588/",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/machine-learning-lead-engineer/263588.png","ImageObject",442,249,{"name":88,"@type":89},"Mabel","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-20","2026-09-14",true,{"@type":98,"interactionType":99,"userInteractionCount":76},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"What is the core responsibility of the Machine Learning Lead Engineer?","Question",{"text":108,"@type":109},"Lead the architecture, design, and development of Machine Learning and Generative AI applications, from translating R&D into production through operationalization and ongoing support.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"Which technical and development areas are required?",{"text":113,"@type":109},"Full-stack ML/GenAI workflow design, modern web frameworks (e.g., React, TypeScript, Node.js), Python for back-end and ML/GenAI workflows, API development frameworks, and production-grade vector databases.",{"name":115,"@type":106,"acceptedAnswer":116},"What education and experience are expected for this role?",{"text":117,"@type":109},"A preferred master’s degree in related fields, at least seven years of industry software development and Machine Learning experience, at least five years leading projects and architecting solutions, and at least five years working with agile teams.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},263588,1789372136,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":76,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":76,"language":135,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":61,"update_tm":125,"read_time":9},7971474920318,"https://ap-avatar.wpscdn.com/avatar/74000ee537e6b0ca360?x-image-process=image/resize,m_fixed,w_180,h_180&k=1788430171632181674","Machine Learning Lead Engineer  \nDepartment: Technology & Information Services  \nOrganizational Relationship: Reports to the Manager of Machine Learning  \nFLSA Status: Exempt  \nLast Updated: January 2025  \nGeneral Summary:  \nThe Lead Engineer leads architecture, design and development of Machine Learning (ML) and Generative AI (Gen AI) applications tailored to optimize legal and business workflows. This individual will collaborate directly with the Manger of Machine Learning to lead and drive key AI/ML projects, ensuring alignment with organization goals and driving technical excellence across the team.  \nAs a strategic leader, the Lead Engineer provides technical mentorship, sets an enforces best practices for AI/ML development, and ensures the delivery of high-quality, scalable solutions. They will take ownership of the end-to-end lifecycle of AI/ML applications, including translating R&D outcomes into production-ready solutions and overseeing operationalization. This role requires technical expertise in full-stack development and AI/ML, as well as the ability to lead technical teams.  \nThis role works closely with stakeholders, leadership and engineering teams to align technical architecture and implementations with business objectives, fostering innovation and delivering impactful results.  \nEssential Duties and Responsibilities  \n“Essential duties” are those that an individual must be able to perform with or without reasonable accommodation.  \n1. Design and architect full-stack solutions for Machine Learning / GenAI workflows, integrating both frontend and backend components to deliver robust and scalable solutions  \n2. Act as a technical authority, bringing deep industry expertise to guide architectural decisions and implementation and ensure high-quality implementation of AI/ML solutions  \n3. Lead cross-functional initiatives by collaborating with Innovation Attorneys, stakeholders and engineering team to define technical requirements and deliver solutions that align with organizational goals and strategies  \n4. Provide technical leadership by mentoring team members , offering expert advice , and establishing engineering best practices  \n5. Works with and makes recommendations to the leadership regarding the maintenance and enhancement of existing Latham production applications  \n6. Oversees the end-to-end lifecycle of AI/ML applications from conceptualization and design, through delivery and ongoing support  \n7. Stays informed on the latest industry trends and technologies to keep our AI systems at the forefront of technological advancements  \n8. Performs other related projects and assignments as required  \nPosition Specifications  \nEducation  \n• Master’s degree in Information Systems, Computer Science, Engineering , Data Science or related field preferred  \nWork Experience  \n• A minimum of seven years’ industry experience in software development and Machine Learning  \n• A minimum of five years experience leading projects and architecting solutions in industry settings  \n• A minimum of five years’ experience working with agile teams  \n• Experience building and productizing real-world AI models and systems  \nKnowledge, Skills, and Abilities  \n• Experience designing and implementing various architectural patterns, including microservices, serverless and monolithic architectures  \n• Proficiency in modern web development frameworks and languages, including React, Typescript, and Node.js with experience building and maintaining front-end and backendapplications  \n• Familiarity with alternative web frameworks such as Vue.js and a strong understanding of component-based architecture, state management and responsive design principles  \n• Expertise in Python for back-end development, Machine Learning / GenAI workflows and API development  \n• Experience with libraries and frameworks commonly used for Gen AI application development (e.g. , LangChain, LangGraph, Haystack, Guardrails, etc. )  \n• Proficiency with API development fra","cbCaihHHTZz4PtjW","https://ap.wps.com/l/cbCaihHHTZz4PtjW","pdf",151020,"English","# Essential Duties and Responsibilities\n## Position Specifications\n### Education and Work Experience\n### Knowledge, Skills, and Abilities\n## Physical Demands and Working Conditions","[{\"question\":\"What is the core responsibility of the Machine Learning Lead Engineer?\",\"answer\":\"Lead the architecture, design, and development of Machine Learning and Generative AI applications, from translating R\\u0026D into production through operationalization and ongoing support.\"},{\"question\":\"Which technical and development areas are required?\",\"answer\":\"Full-stack ML/GenAI workflow design, modern web frameworks (e.g., React, TypeScript, Node.js), Python for back-end and ML/GenAI workflows, API development frameworks, and production-grade vector databases.\"},{\"question\":\"What education and experience are expected for this role?\",\"answer\":\"A preferred master’s degree in related fields, at least seven years of industry software development and Machine Learning experience, at least five years leading projects and architecting solutions, and at least five years working with agile teams.\"}]","Machine Learning Lead Engineer | PDF"]