130 Neural Networks jobs in Vietnam
Senior AI Ethicist - Responsible AI Development
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Key responsibilities include developing comprehensive AI ethics frameworks, policies, and standards that align with societal values and regulatory requirements. You will collaborate closely with AI researchers, data scientists, engineers, and legal counsel to integrate ethical considerations throughout the AI lifecycle. This involves conducting thorough ethical risk assessments for new AI applications, identifying potential harms, and proposing mitigation strategies. You will also lead internal training and awareness programs on AI ethics, fostering a culture of responsible AI development. Staying abreast of evolving AI ethics research, global regulations, and industry best practices is crucial. The Senior AI Ethicist will also serve as a key liaison with external stakeholders, including academic institutions, industry bodies, and policymakers, to contribute to the broader discourse on AI governance. Strong analytical and critical thinking skills are essential for navigating the complex ethical challenges presented by AI.
Qualifications:
- Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a specialization in AI ethics or technology policy.
- Minimum of 7 years of experience working on ethical implications of technology, with a significant focus on Artificial Intelligence.
- Demonstrated expertise in developing AI ethics frameworks, principles, and governance models.
- Strong understanding of machine learning concepts, data science, and the AI development lifecycle.
- Experience with ethical risk assessment methodologies and bias detection/mitigation techniques.
- Excellent research, analytical, and communication skills, with the ability to articulate complex ethical issues clearly.
- Ability to influence and collaborate with diverse technical and non-technical teams.
- Proven ability to work autonomously and lead initiatives in a remote environment.
Remote AI Ethics Specialist - Responsible AI Development
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Key Responsibilities:
- Develop and implement AI ethics frameworks and policies.
- Conduct ethical risk assessments for AI systems.
- Collaborate with AI teams to ensure responsible AI development.
- Research and advise on AI regulations and best practices.
- Promote transparency, fairness, and accountability in AI.
Qualifications:
- 4+ years of experience in AI ethics or responsible AI.
- Advanced degree in AI Ethics, Computer Science, Philosophy, or related field.
- Strong understanding of AI/ML principles and their societal impact.
- Excellent analytical, research, and communication skills.
- Familiarity with AI governance and regulations.
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.
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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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