217 AI Architect jobs in Vietnam
AI Solutions Architect
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AI Solutions Architect
Posted today
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Key Responsibilities:
- Design and architect end-to-end AI solutions, including machine learning models, natural language processing systems, computer vision applications, and data pipelines.
- Collaborate with data scientists, engineers, and product managers to understand requirements and define technical specifications.
- Evaluate and select appropriate AI frameworks, tools, and platforms (e.g., TensorFlow, PyTorch, scikit-learn, cloud AI services).
- Develop proof-of-concepts (PoCs) and minimum viable products (MVPs) to validate AI solution designs.
- Provide technical leadership and guidance throughout the development lifecycle, from ideation to deployment and maintenance.
- Ensure solutions are scalable, robust, secure, and cost-effective.
- Mentor junior engineers and promote best practices in AI development and MLOps.
- Stay current with the latest advancements in AI, machine learning, deep learning, and related fields.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Contribute to the development of the company's AI strategy and technology roadmap.
- Oversee the integration of AI solutions into existing client systems and workflows.
- Ensure data privacy and ethical considerations are addressed in AI solution design.
- Perform code reviews and provide constructive feedback to development teams.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in software development, with at least 4 years specifically focused on AI/ML solutions.
- Proven experience in designing and implementing complex AI systems in production environments.
- Strong understanding of various machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python and experience with relevant AI libraries and frameworks.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate technical concepts clearly.
- Experience with MLOps principles and tools is highly desirable.
AI Solutions Architect
Posted today
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AI Solutions Architect
Posted today
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI and Machine Learning solutions.
- Collaborate with data scientists and engineers to develop and deploy AI models.
- Select appropriate AI tools, platforms, and technologies for specific projects.
- Ensure the scalability, reliability, and security of AI solutions.
- Integrate AI solutions with existing business systems and workflows.
- Provide technical leadership and guidance on AI best practices.
- Translate business needs into technical requirements for AI projects.
- Evaluate and stay updated on emerging AI technologies and trends.
- Develop proofs-of-concept and prototypes for new AI applications.
- Document architectural designs and technical specifications.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI/ML, data science, or software engineering.
- Proven experience designing and implementing AI solutions in cloud environments (AWS, Azure, GCP).
- Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages like Python.
- Experience with big data technologies and MLOps is highly desirable.
- Excellent analytical, problem-solving, and communication skills.
- Ability to lead technical discussions and influence stakeholders.
- Experience in translating business problems into AI solutions.
AI Solutions Architect
Posted today
Job Viewed
Job Description
Responsibilities:
- Design and architect end-to-end AI and machine learning solutions.
- Collaborate with clients to understand business requirements and translate them into technical specifications.
- Select appropriate AI algorithms, models, and platforms.
- Guide data scientists and engineers in model development and deployment.
- Ensure scalability, reliability, and performance of AI systems.
- Develop proof-of-concepts and pilot projects.
- Stay abreast of the latest advancements in AI and emerging technologies.
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
- Minimum of 6 years of experience in AI/ML, with at least 3 years in a solutions architect role.
- Deep understanding of machine learning, deep learning, NLP, and computer vision.
- Proficiency with cloud platforms (AWS, Azure, GCP) and AI/ML frameworks.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
AI Solutions Architect
Posted today
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Job Description
As an AI Solutions Architect, you will collaborate closely with data scientists, engineers, product managers, and business stakeholders to translate complex business problems into AI-powered solutions. Your responsibilities will include evaluating AI technologies and platforms, designing robust and scalable AI architectures, and overseeing the implementation and deployment of AI models. You will be involved in all phases of the AI lifecycle, from data preparation and model training to model deployment, monitoring, and optimization. This role requires strong analytical skills, excellent problem-solving abilities, and the capacity to communicate complex technical concepts clearly to diverse audiences. You will also stay abreast of the rapidly evolving AI landscape to identify new opportunities and drive innovation.
Key Responsibilities:
- Design and architect end-to-end AI solutions, including data pipelines, model training, and deployment strategies.
- Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
- Collaborate with data scientists to operationalize machine learning models.
- Develop proof-of-concepts and prototypes for AI applications.
- Ensure AI solutions are scalable, reliable, and secure.
- Provide technical guidance on AI best practices and implementation.
- Integrate AI solutions with existing enterprise systems and workflows.
- Monitor and optimize deployed AI models for performance and accuracy.
- Conduct technical feasibility studies and provide recommendations.
- Stay current with advancements in AI, machine learning, and data science.
- Communicate technical designs and concepts to stakeholders at various levels.
Qualifications:
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- 7+ years of experience in software development or data science, with at least 3 years focused on AI/ML solution design.
- Proven experience designing and deploying AI/ML models in production environments.
- Deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
- Proficiency in programming languages like Python or R.
- Experience with cloud platforms (AWS, Azure, GCP) and AI services.
- Knowledge of MLOps principles and tools.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
AI Solutions Architect
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions tailored to client requirements.
- Evaluate and select appropriate AI/ML models, algorithms, and technologies.
- Oversee the implementation and deployment of AI solutions across various platforms.
- Collaborate with data scientists, engineers, and business stakeholders to define project scope and objectives.
- Provide technical leadership and architectural guidance throughout the project lifecycle.
- Ensure the scalability, performance, and security of AI systems.
- Develop and present technical proposals and architectural designs to clients.
- Stay abreast of the latest advancements in AI and machine learning.
- Mentor junior team members and contribute to knowledge sharing within the organization.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Extensive experience in designing and implementing AI/ML solutions.
- Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch) and libraries.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent understanding of data structures, algorithms, and software design principles.
- Strong problem-solving and analytical skills.
- Exceptional communication and presentation abilities.
- Ability to work independently in a remote setting.
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AI Solutions Architect
Posted today
Job Viewed
Job Description
AI Solutions Architect
Posted today
Job Viewed
Job Description
AI Solutions Architect
Posted today
Job Viewed
Job Description
As an AI Solutions Architect, you will be responsible for conceptualizing, designing, and validating AI and machine learning solutions that address complex business challenges. You will collaborate closely with data scientists, engineers, and business stakeholders to understand requirements, define technical specifications, and select appropriate AI/ML technologies and frameworks. Your expertise will span areas such as natural language processing (NLP), computer vision, predictive analytics, and deep learning. You will ensure that the designed solutions are scalable, efficient, and aligned with industry best practices.
Key responsibilities include:
- Designing end-to-end AI/ML solutions and system architectures.
- Evaluating and recommending AI/ML technologies, frameworks, and tools.
- Collaborating with data science teams to implement and deploy models.
- Translating business requirements into technical AI/ML solutions.
- Providing technical leadership and guidance throughout the development lifecycle.
- Ensuring the scalability, performance, and security of AI solutions.
- Developing proof-of-concepts (PoCs) and prototypes to validate AI approaches.
- Staying current with advancements in AI, machine learning, and related fields.
- Communicating complex technical concepts to both technical and non-technical stakeholders.
- Contributing to the company's knowledge base and best practices in AI development.
We are looking for candidates with a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience. A minimum of 6 years of experience in designing and implementing AI/ML solutions is required. Proven expertise in machine learning algorithms, programming languages (e.g., Python, R), and AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services is highly desirable. Excellent problem-solving, communication, and collaboration skills are necessary to excel in this fully remote, client-facing role. Experience with MLOps practices and deploying models into production environments is a significant plus. If you are passionate about leveraging AI to solve real-world problems and thrive in a remote, innovative environment, we encourage you to apply.