779 AI & Emerging Technologies jobs in Vietnam
AI Research Scientist
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AI Research Scientist (Remote)
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Remote Principal AI Research Scientist - Machine Learning
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The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field, with a minimum of 8 years of experience in AI research and development. Proven expertise in developing and deploying sophisticated machine learning models, including deep learning, reinforcement learning, and natural language processing, is essential. You should have strong programming skills in languages such as Python and experience with ML frameworks like TensorFlow, PyTorch, or Keras. Experience with big data technologies and cloud platforms (AWS, Azure, GCP) for model training and deployment is highly desirable. Exceptional analytical, critical thinking, and problem-solving skills are required, as is the ability to communicate complex technical concepts clearly and effectively to both technical and non-technical audiences in a remote setting. Join our esteemed research team and make a significant impact on the future of artificial intelligence.
Responsibilities:
- Lead research initiatives in advanced machine learning and AI techniques.
- Develop and implement novel ML algorithms and models.
- Design and conduct experiments to evaluate AI models.
- Analyze and interpret complex datasets to extract insights.
- Stay current with AI research literature and emerging trends.
- Collaborate with engineering teams to deploy AI solutions.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to team growth.
- Contribute to patent applications and intellectual property development.
- Ph.D. or Master's degree in CS, AI, ML, or related field.
- 8+ years of experience in AI research and machine learning.
- Expertise in deep learning, reinforcement learning, NLP, or computer vision.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras).
- Experience with big data technologies and cloud ML platforms.
- Strong theoretical foundation in machine learning.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication for remote collaboration.
- Proven track record of research publications or patents.
Senior AI Research Scientist - Machine Learning
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Senior AI Research Scientist - Computer Vision
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Key Responsibilities:
- Conduct advanced research in computer vision, including object detection, image recognition, segmentation, and tracking.
- Develop and implement novel deep learning models and algorithms for visual data analysis.
- Design and execute experiments to validate research hypotheses and model performance.
- Collaborate with engineering teams to integrate AI models into production systems and products.
- Stay abreast of the latest research in AI, machine learning, and computer vision, and contribute to the scientific community through publications and presentations.
- Analyze large-scale image and video datasets to extract meaningful insights.
- Develop benchmarks and evaluation metrics for computer vision tasks.
- Mentor junior researchers and contribute to the team's overall technical growth.
- Work with cross-functional teams to define research objectives and translate them into actionable projects.
- Ensure responsible and ethical development and deployment of AI technologies.
- Explore and implement advanced techniques such as generative models, few-shot learning, and self-supervised learning.
- Contribute to patent applications and technical documentation.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 5 years of post-doctoral or industry research experience in computer vision.
- Strong publication record in top-tier AI/ML/CV conferences and journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and C++.
- Experience with large-scale datasets and distributed computing environments.
- Solid understanding of mathematical concepts relevant to machine learning (linear algebra, calculus, probability, statistics).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Join a leading AI research group in Vung Tau, Ba Ria–Vung Tau, VN and help shape the future of artificial intelligence. This role is perfect for an ambitious researcher eager to make a significant impact.
Senior AI Research Scientist
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Key Responsibilities:
- Conduct in-depth research into machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, implement, and evaluate advanced AI algorithms and models.
- Develop prototypes and proof-of-concepts for new AI applications and features.
- Collaborate with cross-functional teams, including data engineers and software developers, to integrate AI solutions into existing products and services.
- Stay abreast of the latest advancements and trends in AI and machine learning.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and engineers.
- Contribute to the strategic direction of AI research initiatives.
- Ensure the ethical and responsible development and deployment of AI technologies.
- Optimize AI models for performance, scalability, and efficiency.
- 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 AI, with publications in reputable venues.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Solid understanding of mathematical concepts underlying AI, including linear algebra, calculus, and probability.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities, crucial for a remote team environment.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Familiarity with agile development methodologies.
Senior AI Research Scientist
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Senior AI Research Scientist
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AI Research Scientist
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Key Responsibilities:
- Conducting advanced research in artificial intelligence and machine learning.
- Developing and implementing novel AI algorithms and models.
- Designing and executing experiments to test hypotheses and validate research findings.
- Utilizing deep learning frameworks (e.g., TensorFlow, PyTorch) for model development.
- Exploring and applying techniques in areas such as NLP, computer vision, reinforcement learning, and generative AI.
- Collaborating with engineering teams to integrate research prototypes into production systems.
- Analyzing large datasets to extract insights and inform model development.
- Staying current with the latest AI research papers, conferences, and industry trends.
- Publishing research findings in reputable journals and presenting at conferences.
- Developing proof-of-concepts and demonstrating the feasibility of new AI applications.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to a collaborative research environment.
- Evaluating and selecting appropriate AI tools and technologies.
- Troubleshooting and optimizing AI model performance.
- Defining research roadmaps and strategic objectives for AI innovation.
Location: Remote
AI Research Scientist - Computer Vision
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Key Responsibilities:
- Conduct state-of-the-art research in computer vision, including object detection, segmentation, tracking, and image recognition.
- Develop, train, and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Implement and experiment with novel AI architectures and algorithms.
- Analyze and interpret large datasets to extract meaningful insights and improve model performance.
- Collaborate with a team of researchers and engineers to translate research findings into practical applications.
- Publish research findings in leading academic journals and conferences.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision.
- Contribute to the intellectual property of the company through patents and publications.
- Develop and maintain robust codebases and research infrastructure.
- Present research results to both technical and non-technical audiences.
- Mentor junior researchers and interns.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Proven research experience in computer vision, with a strong portfolio of projects and publications.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Solid understanding of computer vision algorithms, image processing, and pattern recognition.
- Experience with large-scale datasets and cloud computing platforms (AWS, GCP, Azure).
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Ability to work independently and drive research projects forward.
- Experience with C++ is a plus.
- Familiarity with other AI domains like NLP or Reinforcement Learning is a bonus.
This is an exciting opportunity to work remotely at the cutting edge of AI research, contributing to transformative technologies. If you are a passionate AI scientist seeking impactful work, this role is for you.