2 445 AI & Emerging Technologies jobs in Vietnam
Senior AI Research Scientist - NLP
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Responsibilities:
- Conduct cutting-edge research in NLP, including but not limited to text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Design, develop, and implement novel deep learning models and algorithms for NLP tasks.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research papers and conferences.
- Collaborate with cross-functional teams to integrate research findings into production systems and applications.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Develop benchmarks and evaluation metrics to assess the performance of NLP models.
- Manage research projects from conception to completion, including defining objectives, designing experiments, and analyzing results.
- Contribute to the intellectual property portfolio through patents and publications.
- Engage with the broader AI research community.
- Design and implement robust data pipelines for training and evaluating NLP models.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Minimum of 5 years of post-Ph.D. research experience in AI/ML, with a strong focus on NLP.
- Proven track record of impactful research in NLP, demonstrated through publications in leading conferences (e.g., ACL, EMNLP, NeurIPS) and/or patents.
- Deep understanding of deep learning architectures (e.g., Transformers, RNNs, CNNs) and their application to NLP.
- Proficiency in programming languages such as Python and ML frameworks like TensorFlow, PyTorch.
- Experience with large-scale datasets and distributed computing environments.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to articulate complex research concepts clearly.
- Experience working effectively in a fully remote research environment.
- Ability to work independently and lead research initiatives.
Lead AI Research Scientist - Generative Models
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Your responsibilities will include:
- Spearheading research and development efforts in novel generative AI techniques.
- Designing, implementing, and evaluating state-of-the-art generative models for diverse applications.
- Leading and mentoring a team of AI researchers and engineers, fostering a collaborative and innovative environment.
- Publishing research findings in top-tier AI conferences and journals.
- Collaborating with product teams to translate research breakthroughs into tangible product features.
- Developing robust evaluation metrics and frameworks for assessing the performance and ethical implications of generative models.
- Staying at the cutting edge of AI and machine learning research, identifying emerging trends and opportunities.
- Contributing to the strategic direction of the AI research roadmap.
- Ensuring the responsible development and deployment of AI technologies, with a focus on fairness, transparency, and safety.
- Managing project timelines, resources, and deliverables effectively.
Lead AI Research Scientist - Natural Language Processing
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Responsibilities:
- Lead and conduct advanced research in Natural Language Processing, Machine Learning, and Deep Learning.
- Develop novel algorithms and models for tasks such as text generation, sentiment analysis, machine translation, question answering, and summarization.
- Design and implement scalable NLP pipelines and systems.
- Experiment with and evaluate state-of-the-art NLP techniques and frameworks (e.g., Transformers, BERT, GPT).
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with product teams to integrate research innovations into production systems.
- Mentor junior researchers and engineers, fostering a culture of learning and innovation.
- Stay abreast of the latest advancements in AI, NLP, and related fields.
- Contribute to the intellectual property portfolio through patents and publications.
- Present research outcomes to technical and non-technical audiences.
- Define research roadmaps and project objectives.
- Ensure the ethical considerations and societal impact of AI research are addressed.
- Participate in peer reviews and contribute to the scientific community.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a closely related field.
- 5+ years of hands-on research experience in NLP, with a proven track record of impactful publications.
- Deep understanding of machine learning algorithms, statistical modeling, and deep learning architectures (CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn, NLTK, spaCy.
- Experience with large-scale data processing and distributed computing frameworks (e.g., Spark).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly.
- Demonstrated leadership capabilities and experience mentoring research teams.
- Ability to work effectively in a collaborative, fully remote , and fast-paced environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
- Familiarity with software development best practices.
This is a groundbreaking opportunity for a passionate AI researcher to make significant contributions from anywhere in Can Tho, Can Tho, VN or globally.
Remote AI Research Scientist (NLP Focus)
Posted today
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Key Responsibilities:
- Conduct cutting-edge research in Natural Language Processing, including areas such as text generation, sentiment analysis, machine translation, question answering, and information extraction.
- Develop, implement, and evaluate novel machine learning algorithms and deep learning models for NLP tasks.
- Design and execute rigorous experiments to test hypotheses and validate research findings.
- Collaborate with other AI researchers, engineers, and product teams to integrate research outcomes into practical applications.
- Stay abreast of the latest advancements in AI, machine learning, and NLP through literature review and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of open-source tools and libraries within the AI/NLP community.
- Mentor junior researchers and interns, providing guidance and technical expertise.
- Present research findings to both technical and non-technical audiences.
- Proactively identify new research avenues and opportunities for innovation.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- Demonstrated expertise in Natural Language Processing with a strong publication record in relevant venues.
- Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- In-depth knowledge of NLP techniques, including transformers, RNNs, LSTMs, and word embeddings.
- Experience with large-scale datasets and distributed computing environments.
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.
- Strong communication and presentation skills.
- Passion for advancing the field of AI and solving complex challenges.
Senior AI Research Scientist - Remote
Posted today
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Responsibilities:
- Conduct cutting-edge research in artificial intelligence, machine learning, and related fields.
- Develop, implement, and evaluate novel AI algorithms and models.
- Design and execute experiments to test hypotheses and validate research findings.
- Analyze large datasets to extract insights and inform model development.
- Stay current with the latest research and advancements in AI and machine learning.
- Publish research findings in top-tier AI conferences and journals.
- Collaborate with engineers to integrate research prototypes into production systems.
- Mentor junior researchers and guide their technical development.
- Contribute to the strategic direction of AI research efforts.
- Identify new research opportunities and potential areas for innovation.
- Present research results to internal teams and external stakeholders.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of impactful research in AI/ML, evidenced by publications and contributions.
- Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
- Proficiency in programming languages such as Python.
- Hands-on experience with AI/ML frameworks like TensorFlow, PyTorch, or similar.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills.
- Ability to work independently and collaboratively in a remote research environment.
- Experience with areas like NLP, Computer Vision, or Reinforcement Learning is a plus.
Remote Senior AI Research Scientist
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- Conduct advanced research in artificial intelligence, machine learning, deep learning, and related fields.
- Develop novel algorithms, models, and techniques to solve complex problems.
- Design and implement rigorous experiments to validate research hypotheses.
- Analyze and interpret experimental results, and draw meaningful conclusions.
- Collaborate with cross-functional teams on AI product development and integration.
- Publish research findings in leading academic conferences and journals.
- Mentor junior researchers and interns.
- Stay abreast of the latest advancements and emerging trends in AI research.
- Contribute to the strategic direction of the AI research roadmap.
- Present research findings to technical and non-technical audiences.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- 5+ years of post-doctoral or industry research experience in AI.
- Demonstrated track record of high-impact publications in top-tier AI conferences and journals (e.g., NeurIPS, ICML, ICLR, AAAI).
- Expertise in one or more AI subfields such as computer vision, natural language processing, reinforcement learning, or generative models.
- Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent mathematical and statistical modeling skills.
- Proven ability to conduct independent research and manage projects effectively.
- Strong communication, presentation, and interpersonal skills.
- Experience working in a remote research environment is a plus.
- Ability to think critically and solve complex problems creatively.
Principal AI Research Scientist - Natural Language Processing
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Responsibilities:
- Lead and conduct high-impact research in Natural Language Processing (NLP), focusing on developing novel algorithms and models.
- Define research roadmaps and identify key opportunities for innovation in NLP.
- Design, implement, and evaluate experiments to test hypotheses and validate new approaches.
- Develop and refine deep learning models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and text generation.
- Explore and implement state-of-the-art techniques, including transformer architectures and large language models (LLMs).
- Mentor and guide a team of AI researchers and engineers, fostering a collaborative and productive research environment.
- Publish research findings in leading AI conferences and journals.
- Contribute to the company's patent portfolio through novel inventions.
- Translate research outcomes into practical applications and product features.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay current with the latest advancements in AI, machine learning, and NLP.
- Present research findings and technical strategies to stakeholders across the organization.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field with a specialization in NLP.
- Minimum of 10 years of post-doctoral research experience in AI/ML, with a focus on NLP.
- Proven track record of leading research projects and delivering innovative solutions.
- Strong publication record in top-tier AI venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
- Deep understanding of machine learning principles and deep learning architectures.
- Expertise in Python programming and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Experience with large-scale data processing and distributed computing environments.
- Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex ideas clearly.
- Experience mentoring junior researchers is highly valued.
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AI Research Scientist - Machine Learning
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Location: Bien Hoa, Dong Nai, VN
Senior AI Research Scientist
Posted today
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The ideal candidate will have a strong theoretical foundation in AI and a proven track record of delivering practical AI solutions. You will be responsible for data acquisition, preprocessing, feature engineering, and model validation. Collaborating with software engineers and product managers will be crucial to integrate AI models into production systems and ensure their scalability and efficiency. You will also stay abreast of the latest advancements in the field, publish research findings, and present work at conferences. The ability to design and conduct rigorous experiments, interpret complex results, and communicate findings clearly to both technical and non-technical audiences is essential.
Qualifications include a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 5 years of experience in AI research and development. Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras are required. Strong understanding of statistical modeling, data mining, and algorithm development is a must. Experience with big data technologies and cloud computing platforms (AWS, Azure, GCP) is highly desirable. This hybrid role offers the opportunity to shape the future of AI within our client's organization, working on challenging and impactful projects. You will contribute to a culture of innovation and continuous learning, driving technological advancements.
AI Research Scientist - Natural Language Processing
Posted today
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Job Description
Responsibilities:
- Conduct cutting-edge research in Natural Language Processing (NLP), focusing on areas like language understanding, generation, translation, and summarization.
- Develop and implement novel NLP algorithms and machine learning models, particularly leveraging deep learning techniques.
- Design and execute research experiments, analyze results, and document findings comprehensively.
- Utilize state-of-the-art NLP frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers).
- Work with large-scale text datasets, including data cleaning, preprocessing, and feature engineering.
- Collaborate with other AI researchers and engineers to integrate NLP models into product prototypes and applications.
- Stay current with the latest advancements and research trends in NLP and AI.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of intellectual property and patents.
- Mentor junior researchers and interns.
- Present research progress and findings to technical and non-technical audiences.
- Contribute to the strategic direction of AI research within the organization.
Qualifications:
- Ph.D. or Master's degree in Computer Science, AI, Computational Linguistics, or a related quantitative field.
- Strong publication record in top-tier NLP/AI conferences (e.g., ACL, EMNLP, NeurIPS, ICML).
- Proven experience in developing and implementing deep learning models for NLP tasks.
- Expertise in at least one major deep learning framework (TensorFlow, PyTorch).
- Deep understanding of language models, transformer architectures, and related techniques.
- Proficiency in programming languages such as Python.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work effectively in a collaborative, research-oriented environment.