165 AI Models jobs in Vietnam
Remote Lead AI Engineer - Generative Models
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Key responsibilities:
- Lead the design, development, and implementation of advanced generative AI models (e.g., GANs, VAEs, Diffusion Models).
- Architect scalable and efficient AI systems for training and inference.
- Collaborate with research scientists to translate novel research into production-ready solutions.
- Mentor and guide a team of AI engineers, fostering a culture of technical excellence.
- Optimize AI models for performance, efficiency, and deployment on various platforms.
- Develop and maintain CI/CD pipelines for AI model deployment and monitoring.
- Conduct code reviews and ensure high-quality software engineering practices.
- Stay current with the latest advancements in generative AI and machine learning.
- Troubleshoot and resolve complex technical issues in AI systems.
- Contribute to the strategic roadmap for AI development within the company.
Senior AI Research Scientist - Generative Models
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- Conduct cutting-edge research in AI, with a focus on generative models and deep learning.
- Design, develop, and implement novel AI algorithms and prototypes.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest advancements in AI and machine learning through literature review and conference participation.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Evaluate and benchmark AI model performance, identify areas for improvement.
- Contribute to the writing of research papers and patent applications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI research and development.
- Strong theoretical and practical knowledge of deep learning architectures (CNNs, RNNs, Transformers, GANs).
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities, particularly in a remote setting.
- Proven ability to work independently and manage projects effectively.
Senior AI Research Scientist - Generative Models
Posted today
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Job Description
Responsibilities:
- Lead research initiatives in generative AI, focusing on novel model architectures and training techniques.
- Develop, implement, and optimize advanced deep learning models.
- Conduct thorough experimentation, analyze performance, and present findings to stakeholders.
- Collaborate with engineering teams to deploy research prototypes into production.
- Stay abreast of the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge sharing.
- Ph.D. or Master's degree in a relevant field with 5+ years of AI research experience.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch, JAX).
- Proven track record in generative model research (GANs, VAEs, Diffusion Models).
- Strong understanding of NLP and/or Computer Vision.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage projects in a remote setting.
Senior AI Research Scientist - Generative Models
Posted today
Job Viewed
Job Description
Senior AI Research Scientist - Generative Models
Posted today
Job Viewed
Job Description
- Conduct advanced research in generative AI, focusing on areas such as LLMs, diffusion models, and GANs.
- Design, develop, and implement novel AI algorithms and models.
- Train, evaluate, and optimize AI models for various applications.
- Collaborate with cross-functional teams to integrate AI models into products and services.
- Stay current with the latest research and advancements in the field of AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain high-quality code and documentation.
- Mentor junior researchers and engineers in AI development.
- Contribute to the overall AI strategy and roadmap.
- Identify and explore new research opportunities and potential applications of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research and development in generative AI models.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python and relevant AI/ML libraries (e.g., NumPy, SciPy, scikit-learn).
- Strong understanding of AI mathematics, statistics, and algorithms.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) for AI model training is a plus.
Senior AI Research Scientist - Generative Models
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As a Senior AI Research Scientist, your primary responsibilities will include designing and executing novel research experiments, developing and validating new AI algorithms, and collaborating with cross-functional teams to translate research findings into practical applications. You will be expected to stay abreast of the latest advancements in machine learning, deep learning, natural language processing, and computer vision, identifying opportunities for innovation and applying them to our ongoing projects. A significant part of your role will involve authoring technical papers, presenting findings at leading conferences, and contributing to our intellectual property portfolio.
The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with at least 5 years of hands-on research experience in AI. Proven expertise in developing and deploying large-scale generative models (e.g., GANs, VAEs, Transformers) is essential. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch are mandatory. Excellent problem-solving abilities, a strong theoretical foundation in machine learning, and the ability to work independently and as part of a distributed team are critical. You should also have a track record of publishing in top-tier AI conferences or journals.
This is a fully remote position, offering the flexibility to work from anywhere. We provide a collaborative and intellectually stimulating environment where your contributions are valued and recognized. Join us in building the next generation of intelligent systems from **Da Nang, Da Nang, VN**.
Senior AI Research Scientist - Generative Models
Posted today
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Job Description
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Senior AI Research Scientist - Generative Models
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in generative AI, including GANs, VAEs, diffusion models, and transformers.
- Design, develop, and implement novel algorithms and architectures for generative tasks such as text generation, image synthesis, and data augmentation.
- Train and fine-tune large-scale generative models using various datasets and computing resources.
- Evaluate model performance using appropriate metrics and conduct rigorous scientific analysis.
- Collaborate with cross-functional teams to integrate AI models into product development cycles.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the overall technical leadership of the AI team.
- Stay updated with the latest advancements in machine learning, deep learning, and AI research.
- Develop and maintain research codebases, ensuring reproducibility and scalability.
- Contribute to the intellectual property portfolio through patents and publications.
- Design and execute experiments to validate hypotheses and explore new research directions.
- Optimize model performance for efficiency and effectiveness on target hardware.
- Present research progress and findings to internal stakeholders and external collaborators.
- Actively participate in AI community forums and contribute to open-source projects.
Qualifications:
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of research experience in AI/ML, with a strong focus on generative models.
- Demonstrated expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python.
- Proven track record of publications in leading AI conferences (NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
- Strong understanding of probability, statistics, and linear algebra.
- Experience with large-scale distributed training systems and cloud platforms (AWS, GCP, Azure).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and drive research projects from conception to completion.
- Experience with natural language processing or computer vision is a strong plus.
This role is to support operations and research teams based in Vung Tau, Ba Ria–Vung Tau, VN .
Senior AI Research Scientist (Generative Models)
Posted today
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Job Description
- Lead research initiatives in generative AI, with a strong emphasis on transformer architectures, diffusion models, and other advanced techniques.
- Design and implement novel algorithms for generating realistic and diverse data, including text, images, audio, and code.
- Conduct rigorous experimentation and analysis to validate model performance and identify areas for improvement.
- Collaborate with cross-functional teams to integrate AI models into various product offerings and research projects.
- Stay abreast of the latest advancements in AI and machine learning, contributing to publications, patents, and internal knowledge sharing.
- Mentor junior researchers and engineers, fostering a collaborative and innovative research environment.
- Develop and maintain robust documentation for models, experiments, and research findings.
- Ensure ethical considerations and responsible AI practices are integrated into all research and development processes.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and development in generative models, with publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR).
- Expertise in programming languages such as Python, and proficiency with deep learning frameworks like TensorFlow, PyTorch, or JAX.
- Hands-on experience with large-scale model training, optimization, and deployment.
- Strong understanding of linear algebra, calculus, probability, and statistics.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
- Must be comfortable working in a fully remote, collaborative, and fast-paced research environment.
Senior AI Research Scientist - Generative Models
Posted today
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Job Description
As a Senior AI Research Scientist, you will be at the forefront of AI innovation, tackling complex challenges in areas such as natural language processing, computer vision, and reinforcement learning. Your primary responsibilities will involve designing, implementing, and evaluating novel deep learning architectures for generative tasks. You will collaborate closely with a diverse team of researchers and engineers, leveraging your expertise to push the boundaries of what's possible with artificial intelligence.
Key Responsibilities:
- Conduct research and development in generative AI, including GANs, VAEs, and transformer-based models.
- Design, implement, and optimize deep learning algorithms for various AI applications.
- Stay abreast of the latest research advancements in AI and machine learning and identify opportunities for innovation.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Mentor junior researchers and engineers, fostering a culture of learning and knowledge sharing.
- Publish research findings in top-tier AI conferences and journals.
- Contribute to the open-source AI community.
- Ensure the ethical and responsible development of AI technologies.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research and development in AI, with a focus on generative models.
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
- Excellent understanding of linear algebra, calculus, probability, and statistics.
- Experience with large-scale datasets and distributed computing environments.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts.
- Demonstrated ability to work independently and as part of a collaborative team in a remote setting.