504 Generative AI jobs in Vietnam
Data Engineer - Generative Ai
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TechX is a trailblazer in the field of cloud computing and data analytics, specializing in empowering businesses within the banking, financial services, and enterprise sectors. Our flagship product, XData, redefines data analytics by providing advanced insights and innovative solutions that drive meaningful outcomes.
**Overview**:
**Key Responsibilities**:
- Collaborate with TechX Data Solution Architect, Data Scientist to design, implement, and tackle generative AI use case for Knowledge management system.
- Maintain the data platform for Generative AI use case, including deploy and redeploy new models, maintain data quality and model quality. Regularly perform cognitive test to keep the model up to date and accurate.
- Monitor accuracy and response rate metrics for Generative AI Model to take appropriate remediation actions.
- Keep up to date with latest Generative AI trends and propose new way to improve the user experience.
**Key requirements**:
- A bachelor’s degree in computer science, Info Systems, Business, or a related field.
- Experience with SQL and Python.
- Proficiency or first experience in technical architectures, data modeling, infrastructure components, ETL/ELT, reporting/analytic tools, and extracting value from vast datasets.
- Exposure to distributed system concepts, particularly from a data storage and computing perspective (e.g., data lake architectures).
- Initial hands-on experience with AWS Big Data Services such as S3, Glue, Athena, Lambda, EMR, RDS, and Redshift.
- Basic knowledge of DBA tasks and SQL performance tuning.
**Why TechX?**
You’ll play a critical role in our mission to transform and lead in the tech industry. We offer a dynamic and supportive environment where innovation and initiative are valued and rewarded. You’ll have the opportunity to work on cutting-edge projects, collaborate with a talented team, and contribute to our continued success and growth.
Join us to unleash your potential and drive meaningful business impact. Let’s innovate, grow, and succeed together.
**Join Our Team**
TechX offers a collaborative and innovative work environment, where you will have the opportunity to shape the success of our clients and contribute to our growth. If you are ready to make an impact and drive meaningful outcomes, we invite you to join us on this exciting journey.
Senior AI Research Scientist - Generative Models
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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
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Job Description
Senior AI Research Scientist - Generative Models
Posted today
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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
Job Viewed
Job Description
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 .
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Senior AI Research Scientist (Generative Models)
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- 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
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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.
Senior AI Research Scientist - Generative Models
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Responsibilities will include:
- Conducting in-depth research into state-of-the-art AI algorithms and techniques.
- Developing and prototyping novel AI models and architectures, particularly in the realm of generative adversarial networks (GANs), transformers, and diffusion models.
- Implementing and optimizing AI models for performance and scalability using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
- Collaborating with cross-functional teams to integrate AI solutions into product development lifecycles.
- Publishing research findings in top-tier AI conferences and journals.
- Mentoring junior researchers and contributing to the overall knowledge base of the AI team.
- Evaluating and staying abreast of the latest advancements in the AI and machine learning landscape.
- Ensuring the ethical development and deployment of AI technologies.
The ideal candidate will possess a strong academic background, with a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying complex AI models is essential, alongside a deep understanding of mathematical and statistical concepts underpinning machine learning. Excellent programming skills in Python and familiarity with deep learning libraries are required. Candidates should demonstrate a strong publication record or contributions to open-source AI projects. We are looking for individuals who are passionate about AI, possess strong analytical and problem-solving skills, and thrive in a collaborative, remote-first environment. The ability to work independently and manage project timelines effectively is crucial. This is an exciting opportunity to make a significant impact in the rapidly evolving field of AI.