Solutions Architect

2 days ago

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Data Society

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Data analytics • E-learning • Data science • Corporate training • Executive training

11 - 50

Description

• Design, build, test, and release full-stack data-powered services and products as a lead engineer. • Implement durable, secure software solutions that will solve critical customer problems in a fast-paced environment. • Collaborate and communicate with sales team to understand requirements and deliver practical solutions. • Act as the main technical voice for Data Society Group, leading by practice and example. • Contribute to standards, patterns, and best practices that improve engineering capabilities.

Requirements

• 8+ years of experience developing systems/software for complex distributed systems, management products, or business applications. • Experience with at least two of the following areas: Large-scale microservices and distributed systems, Cloud computing and storage systems, Information Retrieval/Search Systems, Machine learning for Search and/or Recommender systems. • Experience with AI infrastructure and applications. • Strong working knowledge and experience applying AI to existing application or building AI native applications with ability to articulate value/limitations, use evaluation tools to measure accuracy, train/tune models, apply tools/techniques. • Experience with AI technologies like SageMaker, Google Vertex AI, LangChain, Large Language Models, Prompt Engineering, DialogFlow. • Proficiency in Python, AWS. • Full-stack development experience with experience in Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android), Back-end technologies like Java, Typescript, Spring, Python, NodeJS/Bun. • BS/MS in a technical field such as Computer Science or equivalent years of experience. • Authorized to work in the US and resides within the continental United States.