Python Professional

Job Description You have a solid understanding and working experience with GCP cloud platform - fundamentals. Your key responsibilities include: - Familiarity with GCP services such as Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, and ADK. - Proficiency in Python environment setup, dependency management (e.g. pip, conda), and API Integrations (API Keys, OAuth). - Exposure to NLP, machine learning, or data science projects. - Awareness of prompt engineering principles and understanding of how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications. - Understanding of transformer architecture and its role in powering modern NLP. - Exposure to AI Code Assist tools. Your qualifications should include: - Solid understanding and working experience with GCP cloud platform. - Proficiency in Python environment setup, dependency management, and API Integrations. - Exposure to NLP, machine learning, or data science projects. - Awareness of prompt engineering principles and understanding of transformer architecture. - Experience with AI Code Assist tools. No additional details of the company are mentioned in the provided job description. You have a solid understanding and working experience with GCP cloud platform - fundamentals. Your key responsibilities include: - Familiarity with GCP services such as Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, and ADK. - Proficiency in Python environment setup, dependency management (e.g. pip, conda), and API Integrations (API Keys, OAuth). - Exposure to NLP, machine learning, or data science projects. - Awareness of prompt engineering principles and understanding of how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications. - Understanding of transformer architecture and its role in powering modern NLP. - Exposure to AI Code Assist tools. Your qualifications should include: - Solid understanding and working experience with GCP cloud platform. - Proficiency in Python environment setup, dependency management, and API Integrations. - Exposure to NLP, machine learning, or data science projects. - Awareness of prompt engineering principles and understanding of transformer architecture. - Experience with AI Code Assist tools. No additional details of the company are mentioned in the provided job description.