Machine Learning Cloud Platforms Python
• Design and develop AI/ML solutions to optimize business management processes, including task management, cash flow, human resources, customer service, etc. • Build models in NLP, recommendation systems, predictive analytics, and generative AI to power features such as internal chatbots, cash flow forecasting, performance analysis, and virtual executive assistants. • Collaborate closely with product managers, designers, and software engineers to integrate AI models into real-world products and ensure their performance in production environments. • Initiate and lead innovative AI initiatives for previously unsolved problems, delivering breakthroughs in user experience and business value. • Stay up to date with the latest AI trends and assess their applicability to the current system. • Capable of building stable and scalable AI/ML systems. • Knowledgeable in cybersecurity and data protection.
• Bachelor‘s degree or higher in Computer Science, Applied Mathematics, Artificial Intelligence, or a related field. • At least 2–3 years of experience applying AI with web/app. • Proficient in Python, Java, or C++, and familiar with popular AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, HuggingFace, LangChain, etc. • Hands-on experience deploying AI models in production-grade systems. • Strong analytical and problem-solving skills, with the ability to work independently and make informed decisions. • Solid understanding of machine learning, deep learning, NLP models, and large-scale data processing systems.
• Attractive salary package up to $6,000 plus bonus based on performance • Flexible evaluation of salary increase (1–2 times/year) commensurate with work results • Opportunity to receive ESOP shares (Employee Stock Ownership Plan) for outstanding contributors • High performance computer and screen • Team building, vacation in a year, and other engagement activities • Other benefits as prescribed by the Labor Law
• Experience in SaaS, enterprise management systems, or B2B products. • Experience working with LLMs or building AI solutions on cloud platforms (AWS, GCP, Azure). • Strong product thinking, with the ability to contribute feature ideas based on AI capabilities.
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