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workflow projects to understand process requirements and translate them into technical solutions. Work with REST APIs and other integration points to connect K2 with external systems and AI services (e.g
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. - Experience using ETL processes, APIs, or custom scripts for academic applications. · Experience with machine learning algorithms and predictive modeling. · Familiarity with statistical methods (e.g
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collaboration platforms (e.g., Microsoft 365, Box, Google Workspace, Zoom, Slack). Familiarity with AI services such as AWS Bedrock, Azure OpenAI, or similar platforms. Proficiency in scripting and automation
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of leading lectures and applied learning activities for 100+ students. • Advanced knowledge of Python, SQL and APIs. • Experience using Google trends and social media data in sentiment analysis for financial
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to the external community. Provide reports on website performance using Google Analytics and web analytics. Evaluate existing websites, create plans for improvements, and implement changes in collaboration with
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every box. Familiarity with LLM development tools such as the OpenAI Assistants API, LangChain (for agent workflows and RAG pipelines), Gemini Studio on Google Vertex AI (for long-context prompt
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the major cloud providers (i.e. Amazon Web Services, Microsoft Azure, Google Cloud Platform) Advanced experience in installing, managing, updating, and troubleshooting Linux and Windows-based systems
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), Information Retrieval (IR), Retrieval-Augmented Generation (RAG), and AI/ML-based systems). Build and manage data pipelines using open-source or cloud tools (e.g., Apache Airflow, AWS Managed Workflows, Google
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a LINUX/UNIX and networked environment. Preferred Qualifications Experience working with NextJS to build SSR (Server Side Rendered) Applications, TypeScript, NextJS REST API and Database fetching
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* Bachelor's Degree in Computer Science or related field: Or equivalent work experience in software development with a focus on web technologies. Minimum 6 years of professional experience in full-stack api