1 Integration Architect jobs in Vietnam
AI Solutions Architect - Cloud Integration
06000 Hoang Hoa
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Job Description
Our client is looking for a talented AI Solutions Architect to join our fully remote engineering team. You will be responsible for designing, developing, and implementing cutting-edge AI solutions, with a strong focus on cloud integration and scalability. This role is crucial in helping our clients harness the power of AI to solve complex business problems and drive innovation. You will work closely with clients and internal teams to understand their needs, translate them into technical requirements, and architect robust, efficient, and secure AI systems. This is a unique opportunity to work on transformative AI projects in a remote-first environment, shaping the future of technology.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design and architect scalable, resilient, and secure AI solutions leveraging cloud platforms (AWS, Azure, GCP).
- Translate business requirements into detailed technical specifications for AI/ML models and systems.
- Lead the integration of AI components into existing client architectures and workflows.
- Evaluate and select appropriate AI/ML technologies, frameworks, and tools.
- Develop proof-of-concepts (POCs) and prototypes to validate technical approaches.
- Collaborate with data scientists, machine learning engineers, and software developers to ensure successful implementation.
- Provide technical leadership and guidance throughout the AI project lifecycle.
- Optimize AI solutions for performance, cost, and operational efficiency.
- Stay abreast of the latest advancements in AI, machine learning, and cloud technologies.
- Develop and maintain technical documentation, including architecture diagrams and design specifications.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum of 6 years of experience in software architecture, with at least 3 years focused on AI/ML solutions.
- Proven experience designing and deploying AI/ML models in cloud environments.
- Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Proficiency in programming languages commonly used in AI (e.g., Python) and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various AI/ML techniques, including deep learning, natural language processing, and computer vision.
- Experience with MLOps practices and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Ability to work effectively in a fully remote, collaborative team setting.
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