942 AI Intern jobs in Vietnam
Lead AI Engineer - Machine Learning
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Key Responsibilities:
- Lead the research, development, and implementation of advanced machine learning models and algorithms (e.g., NLP, computer vision, reinforcement learning).
- Design and build scalable AI/ML systems and pipelines for data processing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI project requirements and roadmaps.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research, and identify opportunities for applying new techniques.
- Ensure the performance, scalability, and reliability of AI solutions in production environments.
- Develop and implement best practices for MLOps, including model versioning, monitoring, and retraining strategies.
- Contribute to the architectural design of AI platforms and infrastructure.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Evaluate and integrate new AI technologies and tools to enhance the team's capabilities.
- Write high-quality, production-ready code in languages such as Python, utilizing libraries like TensorFlow, PyTorch, and scikit-learn.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of hands-on experience in machine learning and AI development, with at least 2 years in a lead or senior capacity.
- Proven track record of successfully designing, building, and deploying production-level AI/ML models.
- Deep expertise in various machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages like Python and experience with ML frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management abilities, with experience mentoring junior engineers.
- Exceptional communication and collaboration skills, essential for effective remote teamwork.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
AI Research Scientist - Machine Learning
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Key Responsibilities:
- Conduct research and develop novel machine learning algorithms and models.
- Design, implement, and evaluate AI solutions for complex problems.
- Analyze large-scale datasets to extract insights and build predictive models.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
- Collaborate with researchers and engineers on interdisciplinary projects.
- Publish research findings in top-tier conferences and journals.
- Develop and maintain high-quality code for AI models and experiments.
- Contribute to the development of AI strategies and roadmaps.
- Present research results and technical concepts to diverse audiences.
- Mentor junior researchers and interns in the field of AI.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven track record of research in machine learning, deep learning, or related areas.
- Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.).
- Expertise in data analysis, statistical modeling, and algorithm development.
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills for remote work.
- Ability to work independently and manage research projects effectively.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- Publications in reputable AI conferences or journals are highly desirable.
AI Solutions Architect - Machine Learning
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Principal AI Engineer, Machine Learning
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AI Research Scientist - Machine Learning
Posted today
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Job Description
- Develop machine learning algorithms.
- Conduct AI research.
- Build predictive models.
- Analyze large datasets.
- Implement deep learning models.
- Contribute to AI product development.
- Publish research findings.
- Collaborate with AI researchers.
- Stay updated on AI advancements.
- Apply AI to solve complex problems.
AI Research Scientist - Machine Learning
Posted today
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Job Description
Key Responsibilities:
- Conduct research and development in machine learning, deep learning, and related AI fields.
- Design, implement, and evaluate novel algorithms and models for various AI applications.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Process and analyze large datasets to extract insights and train models.
- Stay abreast of the latest advancements in AI and machine learning research and technologies.
- Develop prototypes and proof-of-concepts for new AI capabilities.
- Publish research findings in reputable journals and present at conferences.
- Contribute to the intellectual property of the company through patents and publications.
- Mentor junior researchers and contribute to the growth of the AI team.
- Ensure ethical considerations and responsible AI practices are maintained throughout the research process.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of research experience in machine learning or deep learning.
- Strong theoretical understanding of ML algorithms, including supervised, unsupervised, and reinforcement learning.
- Proficiency in programming languages such as Python, R, or Scala.
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and ML services.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong publication record in leading AI conferences or journals is highly desirable.
- Ability to work independently and collaboratively in a dynamic research environment.
This is an exceptional opportunity for an AI enthusiast to contribute to groundbreaking research and development in a forward-thinking company, with the flexibility of a remote work arrangement.
AI Research Scientist - Machine Learning
Posted today
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AI Research Scientist - Machine Learning
Posted today
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Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
- Design, develop, and implement novel AI algorithms and models for various applications.
- Analyze large datasets, identify patterns, and extract meaningful insights.
- Build and train machine learning models using state-of-the-art frameworks (e.g., TensorFlow, PyTorch).
- Evaluate model performance and iterate on designs to achieve optimal results.
- Collaborate with cross-functional teams, including engineers and product managers, to translate research into practical solutions.
- Publish research findings in leading AI conferences and journals.
- Stay current with the latest advancements and research trends in AI and machine learning.
- Develop and maintain AI research infrastructure and tools.
- Contribute to the intellectual property and patent portfolio of the company.
- Mentor junior researchers and interns.
- Present research findings and project progress to stakeholders.
- Explore and experiment with new AI techniques and technologies.
- Develop robust and scalable AI solutions.
- Ensure ethical considerations and bias mitigation are incorporated into AI models.
- Contribute to the overall AI strategy and roadmap.
- Write clear and concise technical documentation.
- Participate in peer reviews of research papers and code.
- Build prototypes to demonstrate the feasibility of new AI approaches.
- Engage with the broader AI research community.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of research experience in machine learning and artificial intelligence, with a strong publication record in top-tier venues.
- Expertise in various machine learning algorithms, including deep learning, reinforcement learning, natural language processing, and computer vision.
- Proficiency in programming languages such as Python, and experience with ML libraries/frameworks like TensorFlow, PyTorch, scikit-learn, Keras.
- Strong mathematical and statistical background.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Proven ability to work independently and as part of a research team.
- Strong written and verbal communication skills.
- Experience with big data technologies and distributed computing (e.g., Spark) is a plus.
- Demonstrated ability to translate theoretical concepts into practical applications.
AI Research Scientist - Machine Learning
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence.
- Develop and implement novel algorithms and models for various AI applications.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Analyze large datasets to extract meaningful insights and build predictive models.
- Stay abreast of the latest advancements in AI and machine learning research.
- Design and execute experiments to validate hypotheses and measure model performance.
- Contribute to technical publications and present research findings at conferences.
- Write high-quality, well-documented code for AI models and systems.
- Mentor junior researchers and contribute to the team's knowledge base.
- Evaluate and select appropriate ML techniques for specific problems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- Proven track record of research and publication in top-tier AI/ML conferences or journals.
- Strong theoretical and practical understanding of various machine learning algorithms (e.g., deep learning, reinforcement learning, NLP).
- Proficiency in programming languages like Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data processing, feature engineering, and model evaluation.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to work independently and in a team-oriented environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
AI Research Scientist - Machine Learning
Posted today
Job Viewed
Job Description
Responsibilities:
- Conduct cutting-edge research in machine learning and artificial intelligence, focusing on areas such as deep learning, natural language processing, computer vision, or reinforcement learning.
- Develop, implement, and evaluate novel AI algorithms and models.
- Design and execute experiments to test and validate AI solutions.
- Collaborate with engineering teams to integrate AI models into production systems.
- Analyze large datasets to identify patterns and build predictive models.
- Stay abreast of the latest advancements in AI and machine learning research through literature reviews and conference participation.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the intellectual property of the company through patent applications.
- Mentor junior researchers and engineers in AI/ML best practices.
- Present research findings to internal teams and external stakeholders.
- Identify and propose innovative AI applications for new product development and existing systems.
- Ensure ethical considerations and responsible AI development practices are followed.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of research experience in AI/ML (for PhD) or 7+ years (for Masters).
- Proven track record of research achievements, demonstrated by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
- Expertise in one or more AI/ML domains: Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, etc.
- Proficiency in programming languages such as Python and familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong mathematical foundation in linear algebra, calculus, probability, and statistics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to work independently and lead research initiatives in a remote setting.
- Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.