Gen AI Architect - (CREQ256698) Description We are seeking a highly skilled GEN AI Architect with a strong focus on Agentic AI to join our team. The ideal candidate will possess extensive knowledge and experience in
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your
Key Responsibilities Support and adapt to organizational DevOps culture and best practices Implement and maintain CI/CD pipelines, automation workflows, and integration activities Contribute to different stages of the Software Development Life Cycle (SDLC) when required Monitor
We are hiring a highly capable AI Engineer to join our growing team and work directly with our current AI lead to rapidly scale internal AI systems, automation workflows, and product integrations. This role is critical
Key Responsibilities Assist in the development, testing, and maintenance of software applications Support deployment and monitoring of applications in cloud-based environments Perform Reliability tests and troubleshooting Develop devops lifecycle tasks and automation Contribute to containerized development
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
JOB DESCRIPTION Job Title: Senior Data Engineer – (Cyber Security Analytics, Intelligence & AI) Location: Sysco LABS – Hybrid About the Role This position is with the Cyber Analytics & Business Intelligence program at Sysco where
Key Responsibilities Lead the development and deployment of advanced data science and AI solutions across Machine Learning (ML), Deep Learning (DL), Generative AI, and Agentic AI use cases Lead the end-to-end model lifecycle management, including data
Key Responsibilities Design, develop, and optimize classical machine learning models (e.g., regression, classification, clustering, time-series forecasting, anomaly detection) Build and deploy deep learning models using frameworks such as TensorFlow or PyTorch for structured, unstructured, and multimodal
Key Responsibilities Define and drive enterprise-level architecture for Data Science, AI/ML, Generative AI, and Agentic AI solutions, ensuring alignment with organizational strategy and technology roadmaps Lead the design of scalable, secure, and high-performance AI platforms, covering
Key Responsibilities Design and develop backend services for a distributed platform Develop software using Java Collaborate with the product architect on architectural decisions Conduct code reviews Follow agile practices and take responsibility for delivery quality and
Key Responsibilities Design and develop backend services for a distributed platform Develop software using C++ and Java Collaborate with the product architect on architectural decisions Conduct code reviews Follow agile practices and take responsibility for delivery