223 AI Consultant jobs in Vietnam
AI Solutions Architect - Machine Learning
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Senior AI Ethics Consultant
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- Developing and implementing comprehensive AI ethics policies and frameworks.
- Conducting ethical risk assessments and bias audits for AI models and applications.
- Providing expert guidance on fairness, accountability, transparency, and safety in AI systems.
- Collaborating with cross-functional teams (data scientists, engineers, product managers, legal) to integrate ethical considerations throughout the AI lifecycle.
- Staying current with evolving AI regulations, ethical standards, and best practices globally.
- Developing training materials and conducting workshops on AI ethics for internal stakeholders.
- Communicating complex ethical issues to both technical and non-technical audiences.
- Contributing to external thought leadership through publications, presentations, and industry engagement.
- Master's or Ph.D. in a relevant field such as AI Ethics, Philosophy of Technology, Law, Computer Science with an ethics focus, or related social sciences.
- Minimum of 6 years of experience in AI ethics, responsible AI, technology policy, or a related field.
- Demonstrated understanding of machine learning principles and common AI applications.
- Experience in developing and implementing ethical AI frameworks or governance models.
- Strong analytical, research, and problem-solving skills.
- Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
- Proven ability to work independently and manage projects effectively in a remote setting.
- Familiarity with data privacy regulations (e.g., GDPR) and their intersection with AI.
- Experience with qualitative and quantitative research methods for ethical analysis.
Remote AI Ethics Consultant
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AI Solutions Architect
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AI Solutions Architect
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AI Solutions Architect
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Key Responsibilities:
- Design and architect end-to-end AI and machine learning solutions for various business applications.
- Collaborate with business stakeholders to gather requirements, identify opportunities, and define project scope.
- Select appropriate AI/ML algorithms, tools, and technologies for specific use cases.
- Develop and implement robust data pipelines for data ingestion, preprocessing, and feature engineering.
- Oversee the development, training, and evaluation of machine learning models.
- Deploy AI/ML models into production environments, ensuring scalability and performance.
- Implement monitoring and maintenance strategies for deployed AI systems.
- Evaluate and integrate new AI technologies and frameworks to enhance existing solutions.
- Provide technical guidance and mentorship to data scientists and engineers.
- Ensure the security, privacy, and ethical considerations of AI solutions.
- Document architectural designs, technical specifications, and best practices.
- Stay abreast of the latest advancements in AI, machine learning, and data science.
- Present solutions and technical strategies to both technical and non-technical audiences.
Required Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 3 years in an architecture or lead role.
- Proven experience in designing and implementing AI/ML solutions in production environments.
- Strong understanding of machine learning algorithms (e.g., supervised, unsupervised, deep learning).
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, or scikit-learn.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Knowledge of big data technologies (e.g., Spark, Hadoop) and database systems.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills.
- Ability to work independently and lead technical teams in a remote setting.
- Experience with MLOps practices is a significant plus.
AI Solutions Architect
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Key duties involve evaluating and selecting appropriate AI/ML tools, frameworks, and platforms. You will design scalable, reliable, and efficient AI systems, addressing aspects such as data pipelines, model training, deployment strategies, and performance monitoring. Strong expertise in various AI domains, including natural language processing (NLP), computer vision, predictive analytics, and deep learning, is essential. You should be adept at communicating complex technical concepts to both technical and non-technical audiences, influencing decision-making, and driving innovation. The ideal candidate possesses a strong understanding of cloud platforms (AWS, Azure, GCP) and their AI/ML services. Experience with MLOps practices for managing the end-to-end machine learning lifecycle is highly desirable.
Qualifications include a Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, along with a minimum of 5-7 years of experience in AI/ML solution design and implementation. Proven experience in architecting and deploying production-ready AI/ML models is required. Excellent programming skills (e.g., Python) and familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) are necessary. This is an exceptional opportunity for a visionary technologist to shape the future of AI within a forward-thinking organization.
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AI Solutions Architect
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AI Solutions Architect
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AI Solutions Architect
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