Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь можно отвечать за полный цикл AI-решений в крупной финансовой компании, но широкий круг задач может быть интенсивным, а работа в офисе и китайский язык заметно сужают доступность вакансии.
?Широкая зона ответственности
Актуальный AI-стек
Финансовый сектор
?Офис и два языка
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Technical Lead (GenAI/ML): Design, build, and operationalize enterprise AI solutions from discovery and prototyping through deployment and production optimization with an accent on technical leadership, AI/MLOps practices, security, reliability, and compliance. Focus on directing end-to-end delivery, guiding design and code reviews, coordinating product and engineering dependencies, and developing solutions with Python, Java, LLM frameworks, AWS, containers, and databases.
Location: Hunghom, Kowloon, Hong Kong
Company
hirify.global provides financial security and health-related services to clients worldwide, with a focus on caring, authentic, bold, inspiring, and impactful work.
What you will do
Provide technical leadership, standards, patterns, and best practices across GenAI, ML, and the supporting AI stack.
Own end-to-end AI solution delivery, including discovery, prototyping, model training or selection, development, integration, testing, deployment, and production optimization.
Ensure solution quality, security, reliability, enterprise architecture alignment, regulatory compliance, and adherence to security policies.
Coordinate with product owners and application teams, manage dependencies, lead technical backlog grooming, estimate complexity, and direct engineering execution.
Act as the AI/ML and GenAI subject matter expert, providing hands-on guidance in design and code reviews.
Oversee technical documentation, maintain an AI and digital solutions knowledge base, identify technology risks and mitigation strategies, and gather user feedback.
Requirements
University degree, preferably in IT, Computer Science, or a related discipline.
More than 8 years of professional experience, including at least 2 years of relevant AI engineering experience.
Practical experience with AI/MLOps practices in enterprise environments.
Proficiency in both spoken and written English and Chinese.
Preferred hands-on experience with Python and Java.
Familiarity with REST APIs and frameworks such as FastAPI, Flask, or similar technologies.
Experience with LLM frameworks including LangChain, LangGraph, and n8n.
Knowledge of PostgreSQL and Cosmos DB.
Practical experience with AWS services, especially SageMaker and Bedrock.
Strong knowledge of containerization and orchestration tools such as Docker and Kubernetes.
Culture & Benefits
Full-time role based in Hunghom, Kowloon, Hong Kong.
Work in a high-performance, caring, inclusive environment focused on wellbeing, collaboration, accountability, and continuous growth.
Collaborate with experienced colleagues and supportive leaders while contributing to clients' lifetime financial security and healthier lives.
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