144 Pytorch jobs in Vietnam
Artificial Intelligence Research Scientist (NLP Focus)
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The ideal candidate will have a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, or a closely related field, with a strong publication record in top-tier AI conferences and journals. You should possess deep theoretical knowledge and practical expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), NLP libraries (e.g., Hugging Face Transformers, spaCy), and programming languages like Python. You will work collaboratively with a global team of researchers and engineers in a remote-first environment, pushing the boundaries of what's possible with AI. Responsibilities include conducting theoretical and empirical research, developing prototypes, evaluating model performance, and contributing to open-source projects. You will also be responsible for staying abreast of the latest research trends and disseminating findings through publications and presentations.
Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing and Machine Learning.
- Design, develop, and implement novel NLP models and algorithms.
- Apply deep learning techniques to tasks such as text classification, entity recognition, summarization, and machine translation.
- Develop and maintain large-scale NLP datasets and benchmarks.
- Evaluate and fine-tune AI models for optimal performance and accuracy.
- Collaborate with engineering teams to deploy AI models into production environments.
- Stay current with the latest research in AI, NLP, and related fields.
- Publish research findings in leading academic conferences and journals.
- Contribute to the company's intellectual property through patents and publications.
- Mentor junior researchers and engineers.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, Linguistics, or a related quantitative field.
- 3+ years of research experience in Natural Language Processing.
- Proven track record of publications in top-tier AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP).
- Strong programming skills in Python and proficiency with deep learning frameworks (TensorFlow, PyTorch).
- Expertise in NLP libraries and toolkits (e.g., Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of NLP concepts, including transformers, LSTMs, word embeddings, and attention mechanisms.
- Experience with large language models (LLMs) and their applications.
- Ability to work independently and effectively in a remote, collaborative team setting.
- Excellent analytical, problem-solving, and critical thinking skills.
AI Research Scientist (Deep Learning)
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Your primary responsibilities will include:
- Conducting in-depth research into advanced deep learning techniques, including neural networks, reinforcement learning, and natural language processing.
- Designing, developing, and implementing novel AI algorithms and models.
- Experimenting with different model architectures and hyperparameter tuning to optimize performance.
- Analyzing large datasets to extract insights and train machine learning models.
- Translating research findings into practical applications and prototypes.
- Collaborating with engineering teams to integrate AI models into production systems.
- Staying abreast of the latest research papers, trends, and advancements in AI and machine learning.
- Publishing research findings in top-tier conferences and journals.
- Mentoring junior researchers and contributing to the team's knowledge base.
- Evaluating and selecting appropriate tools, frameworks, and platforms for AI development.
- Ensuring the ethical considerations and responsible use of AI technologies.
We are looking for candidates with:
- A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A strong publication record in reputable AI/ML conferences and journals (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Proven experience in developing and implementing deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Expertise in at least one core AI domain (e.g., computer vision, natural language processing, speech recognition, reinforcement learning).
- Proficiency in programming languages like Python.
- Solid understanding of mathematical concepts including linear algebra, calculus, probability, and statistics.
- Experience with large-scale data processing and distributed computing is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills to articulate complex technical concepts.
This is a remote position, offering the flexibility to work from anywhere. Join our client's innovative team and contribute to the future of artificial intelligence!
AI Research Scientist - Deep Learning
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AI Research Scientist - Deep Learning
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Key Responsibilities:
- Conduct research and development in deep learning algorithms and architectures.
- Design, train, and evaluate deep neural networks for various applications.
- Implement and optimize machine learning models using Python and relevant libraries (TensorFlow, PyTorch).
- Stay up-to-date with the latest advancements in AI and machine learning research.
- Collaborate with data scientists and software engineers to deploy models into production.
- Analyze large datasets to extract insights and identify patterns for model improvement.
- Contribute to research papers, patents, and presentations.
- Mentor junior researchers and engineers on AI/ML best practices.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Strong theoretical understanding of deep learning, neural networks, and related fields.
- Proven experience in implementing and deploying deep learning models.
- Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and critical thinking skills.
- Strong communication and teamwork abilities.
- Publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR) are a significant plus.
Senior AI Research Scientist - Deep Learning
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As a Senior AI Research Scientist, you will be at the forefront of developing novel deep learning models and algorithms. Your responsibilities will include designing, implementing, and evaluating complex AI systems, conducting rigorous research, and publishing findings in leading academic conferences and journals. You will collaborate with a world-class team of researchers and engineers, pushing the boundaries of what's possible in areas such as natural language processing, computer vision, and reinforcement learning.
We are looking for a candidate with a deep theoretical understanding of machine learning and deep learning concepts, coupled with practical experience in building and deploying AI models. You should be proficient in programming languages such as Python and possess expertise in deep learning frameworks like TensorFlow, PyTorch, or Keras. Strong analytical skills, problem-solving abilities, and a passion for innovation are essential.
This role demands a self-starter who can independently drive research projects from conception to completion. You will need to be highly motivated, curious, and capable of working effectively in a distributed, collaborative environment. Excellent communication skills are crucial for sharing research findings and contributing to team discussions.
Key Responsibilities:
- Conduct state-of-the-art research in deep learning and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models.
- Analyze and interpret complex datasets to extract meaningful insights.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Publish research findings in top-tier conferences and journals.
- Stay abreast of the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge base.
- Develop and maintain high-quality, well-documented code.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Extensive experience in deep learning research and development.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
- Strong understanding of AI/ML algorithms, statistical modeling, and data analysis.
- Excellent problem-solving and critical-thinking skills.
- Ability to work independently and contribute effectively in a remote team.
- Strong publication record in reputable AI conferences/journals is a plus.
This role is based in Rach Gia, Kien Giang, VN , but is fully remote, allowing you to work from anywhere.
Senior AI Research Scientist - Deep Learning
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Key Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models.
- Analyze and interpret complex datasets to train and evaluate AI systems.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and engineers on AI best practices.
- Stay current with the latest advancements and research trends in AI and machine learning.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the development of AI strategies and roadmaps.
- Present research results and technical concepts to diverse audiences.
- Ensure the ethical and responsible development of AI technologies.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
- Extensive experience in developing and implementing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in at least one major AI subfield (e.g., computer vision, NLP, reinforcement learning).
- Strong programming skills in Python.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Ability to work independently and collaboratively in a fast-paced, remote research environment.
- Strong communication and presentation skills.
- Experience with large-scale data processing and distributed computing is a plus.
Remote AI/ML Engineer - Deep Learning
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Remote AI Research Scientist - Deep Learning
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Senior AI Research Scientist - Deep Learning
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Principal AI Research Scientist - Deep Learning
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