Sr. AI Architect

Job Overview

Job ID T4413 – Sr. AI Architect Job Description Summary Grow and advance your career as a key contributor on our Enterprise Business Intelligence Analytics Architecture team of highly motivated and skilled professionals who are leading Travelersrsquo analytics journey and driving business value that creates a sustainable competitive advantage for our company. We accomplish this by helping the enterprise adopt various technology platforms ranging from compute (private and public cloud), AI, Predictive modelling, Data Management and Data Ops. If YOU… Are a passionate technologist who wants to drive technology and architecture strategy? Have a passion for collaborating across different business and technology roles to provide AI and Machine Learning solutions. Are comfortable with ambiguity. Enjoy working in a fast-paced, agile environment. Enjoy driving adoption of new technologies and design patterns. Then, EBIA architecture is the place for you! EBIA Architecture organization is looking for an Artificial Intelligence Architect responsible for working closely with application development teams as they develop new AIML applications using industry standard technologies. The AI Architect will provide guidance and decision-making support for both architecture and design activities. Primary Job Duties Responsibilities Lead AI developers in delivering value to our client. Architect, design, and implement large scale and enterprise grade AI solutions. Assess, estimate, and support opportunities or business development in our clients. Align business strategy, KPI, and AI use cases. Apply knowledge of current industry trends and techniques to formulate solutions within the context of assigned projects. Stay current with AIML trends and research. Be a thought leader in AI area. Prototype and conduct POC of AI solutions. Work within Travelers standards, processes, and protocols. Minimum Qualifications High School diploma or equivalent required. 1 year of technology related experience required. Education, Work Experience, Knowledge Experience in one or more machine learning solutions such as TensorFlow, Keras, etc. Experience in one or more programming language such as Python, R, AngularJS, NodeJS, etc. Good understanding of machine learning techniques such as Neural Networks, Random Forest, etc. Good understanding of natural language processing, machine translation, language detection, etc. Understanding of cloud networking concepts. Familiarity with end to end machine learning (ML) platforms such as SageMaker. Familiarity with micro services. Familiar with lean-agile methodologies Proven success in contributing to a team-oriented environment. Proven ability to work creatively and analytically in a problem-solving environment. Working knowledge of AWS (S3, Services, EC2, Lambda, Glue, Athena), a plus. Proactive link http?resume3 Email to (Only resumes with rate, location, work permit restrictions, contact info will be reviewed)Sr. AI Architect 1

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