*Machine Learning Architect* *Location: Harrisburg, PA* *Duration: 6+ Months*
*Job Overview – Machine Learning Architect* At TE we strongly believe that data and analytics are strategic drivers for future success. We are building a world class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business The Analytics team at TE is part of the TE Information Solutions (TEIS) Organization and is responsible for driving organic growth by leveraging big data and advanced analytics. The team reports to the VP and Chief Data Officer at TEIS, works closely with the SVP of Corporate Strategy, and has regular interactions with the company’s C-Suite. We are on an exciting journey to build and scale our advanced analytics practice. TE is looking for a Machine Learning Architect with experience in defining, building and operating ML workloads. This role is expected to provide thought leadership around architectural best practices by leveraging experience and current industry trends. In this role, you will continuously sharpen your knowledge around the end-to-end model development lifecycle from data preparation and feature engineering to model deployment and retraining. You will use your expertise to provide recommendations around security, cost, performance, reliability and operational efficiency to accelerate projects. You will be closely working with leadership teams from the different organization to establish the foundation to create value for diverse business functions such as supply chain, pricing, Industrial IOT & digital factory implementation, digital marketing and sales growth, and will impact business units that span through multiple geographic areas. *Primary Responsibilities* - Understand current state architecture, including pain points. - Create and document future state architectural options to address specific issues or initiatives using Machine Learning. - Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization. - Lead the end-to-end model development lifecycle from data preparation and feature engineering to model deployment and retraining. - Provide recommendations around security, cost, performance, reliability and operational efficiency and implement them - Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends. - Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives. - Make recommendations and assess proposals for optimization. - Identify operational issues and recommend and implement strategies to resolve problems. *You Must Have: * - 10+ years of overall experience in Data and Analytics domain in a matrix environment, utilizing various SDLC methodologies - Clear understanding of workflow and pipeline architecture of ML and deep learning workloads - 4+ years of experience in ML operations and DevOps workflow and tools such as Git, Kubernetes, CloudFormation and others - Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop - Knowledge of pure and applied math, ML and DL frameworks, such as Tensorflow, and ML techniques, such as random forest and neural networks, are important. - Working experience with common techniques for analyzing data using advanced analytics tooling (SAS, R, Python, etc.) - Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment. - Knowledge of relevant languages, tools and frameworks in AWS environment - Ability to collaborate with leaders, users, Data scientist, Data Engineers, vendors, and other IT teams - Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines. - Willing to flex daily work schedule to allow for time-zone differences for global team communications - Strong interpersonal and communication skills *We Value* - Experience working in a customer-facing role - Hands-on experience with data manipulation, data analytics and data visualization tools - AWS certification - Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision-making. - Experience designing and implementing ETL/ELT solutions for SAP data model - Prior experience in deploying solutions for edge computing in different geo graphical regions Thanks... Uday Varanganti Recruiting Specialist [email protected] O: (785)380 8559 -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . 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