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Field
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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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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
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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the OpenAI Assistants API, LangChain (for agent workflows and RAG pipelines), Gemini Studio on Google Vertex AI (for long-context prompt orchestration), Azure AI Studio and Prompt Flow (for visual LLM
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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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* 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
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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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a focus on web technologies. Minimum 6 years of professional experience in full-stack api-driven application development, including familiarity with front-end and back-end technologies Demonstrated
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research and/or development. Strong technical skills. Including experience with TensorFlow and/or PyTorch, API integration, and software development frameworks, and pipelines. Experience with deep learning
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, implement, and maintain scalable and secure front-end and back-end components for cloud-native and on-premise NLP applications. Develop intuitive UIs for medical professionals, robust APIs, and efficient