135 Conversational AI jobs in Vietnam
Graduate AI Research Assistant
760000 My Tho, Tien Giang
WhatJobs
Posted 2 days ago
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Job Description
Embark on your career in artificial intelligence with this exciting, fully remote Graduate AI Research Assistant opportunity. Our client is dedicated to pushing the boundaries of AI innovation and is seeking bright, motivated graduates to contribute to impactful research projects. This role is perfect for recent graduates eager to gain practical experience in a fast-paced, collaborative, and intellectually stimulating environment, working entirely from home.
As a Graduate AI Research Assistant, you will:
We are looking for candidates with:
This internship provides an unparalleled opportunity to gain hands-on experience in AI research and development, work alongside leading experts in the field, and potentially secure a full-time position upon successful completion. If you are a recent graduate with a drive for innovation and a desire to make a difference in AI, we encourage you to apply.
As a Graduate AI Research Assistant, you will:
- Assist senior researchers in conducting experiments and analyzing data related to various AI domains, such as machine learning, deep learning, and natural language processing.
- Preprocess and clean large datasets to prepare them for AI model training.
- Implement and test AI algorithms under the guidance of experienced researchers.
- Review and summarize academic literature and industry reports relevant to ongoing research.
- Help document research methodologies, findings, and results.
- Contribute to the development of new AI models and techniques.
- Collaborate with team members through virtual meetings and project management tools.
- Learn and apply state-of-the-art AI tools and programming languages (e.g., Python, TensorFlow, PyTorch).
- Participate in brainstorming sessions to generate new research ideas.
- Maintain organized records of experiments and code repositories.
We are looking for candidates with:
- A recent Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.
- A strong academic record and a demonstrated passion for artificial intelligence.
- Foundational knowledge of machine learning principles and algorithms.
- Proficiency in Python programming.
- Familiarity with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras) is a plus.
- Good analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and research methodologies.
- Team-oriented mindset and ability to collaborate virtually.
This internship provides an unparalleled opportunity to gain hands-on experience in AI research and development, work alongside leading experts in the field, and potentially secure a full-time position upon successful completion. If you are a recent graduate with a drive for innovation and a desire to make a difference in AI, we encourage you to apply.
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Graduate Research Assistant - AI & Machine Learning
700000 My Tho, Tien Giang
WhatJobs
Posted today
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Job Description
WhatJobs is offering an exciting opportunity for a motivated Graduate Research Assistant to join a pioneering team focusing on Artificial Intelligence and Machine Learning. This is a fully remote, internship position designed for ambitious graduate students eager to gain hands-on experience in cutting-edge research and development. You will contribute to developing novel algorithms, analyzing large datasets, and implementing AI models to solve complex problems. This role provides an excellent platform to build your expertise in a collaborative and intellectually stimulating environment.
Key Responsibilities:
Key Responsibilities:
- Assist senior researchers in designing and implementing AI and Machine Learning algorithms.
- Collect, clean, and preprocess large datasets for model training and evaluation.
- Develop, train, and fine-tune machine learning models using various frameworks (e.g., TensorFlow, PyTorch).
- Conduct experiments to evaluate model performance and identify areas for optimization.
- Analyze research findings and contribute to the preparation of technical reports and publications.
- Stay updated with the latest advancements and research papers in AI, ML, and related fields.
- Collaborate with team members on various research projects and share insights.
- Develop visualizations and present findings effectively to the research team.
- Assist in the development of prototypes and proof-of-concept applications.
- Troubleshoot and debug code related to ML models and data pipelines.
- Contribute to the documentation of research processes and methodologies.
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Remote Graduate Research Assistant (AI Ethics)
86000 Rach Gia, Kien Giang
WhatJobs
Posted 1 day ago
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Job Description
Our client, a renowned research institution focused on the societal impact of emerging technologies, is seeking highly motivated and intellectually curious Remote Graduate Research Assistants specializing in AI Ethics. This fully remote internship offers an unparalleled opportunity for graduate students to contribute to cutting-edge research in a dynamic and collaborative virtual environment. You will be instrumental in analyzing complex ethical dilemmas posed by artificial intelligence and developing frameworks for responsible AI deployment.
Key Responsibilities:
Key Responsibilities:
- Conduct in-depth literature reviews on topics related to AI ethics, bias in algorithms, AI governance, and responsible innovation.
- Assist senior researchers in designing and executing research methodologies, including qualitative and quantitative analysis.
- Analyze datasets related to AI development and deployment to identify ethical concerns and potential risks.
- Contribute to the writing of research papers, reports, and grant proposals.
- Participate in virtual brainstorming sessions and research discussions with a global team of experts.
- Develop case studies and policy recommendations for ethical AI frameworks.
- Assist in organizing and documenting virtual workshops and seminars on AI ethics.
- Maintain organized research records and bibliographies using reference management software.
- Identify emerging trends and challenges in the field of AI ethics.
- Support the development of ethical guidelines and best practices for AI implementation across various sectors.
- Prepare presentations summarizing research findings for academic and public audiences.
- Engage with online communities and forums related to AI and ethics.
- Assist in data collection through online surveys and interviews, ensuring ethical protocols are followed.
- Critically evaluate existing AI systems for fairness, accountability, and transparency.
- Contribute to a collaborative and knowledge-sharing remote research environment.
- Currently pursuing a Master's or Ph.D. in Computer Science, Philosophy, Sociology, Law, Public Policy, or a related field with a focus on AI or ethics.
- Strong understanding of artificial intelligence concepts and their ethical implications.
- Excellent research, analytical, and critical thinking skills.
- Proficiency in academic research methodologies and data analysis techniques.
- Experience with qualitative and quantitative research methods is a plus.
- Strong written and verbal communication skills, with the ability to articulate complex ideas clearly.
- Familiarity with academic databases and research tools.
- Demonstrated ability to work independently and manage multiple tasks in a remote setting.
- Enthusiasm for contributing to meaningful research that shapes the future of technology.
- Familiarity with programming languages like Python for data analysis is advantageous but not required.
- A genuine interest in interdisciplinary research bridging technology and societal values.
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2
Remote Graduate Research Assistant - AI in Education
96000 Rach Gia, Kien Giang
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking an enthusiastic and academically driven Remote Graduate Research Assistant to support a groundbreaking project focused on the application of Artificial Intelligence (AI) in Education. This fully remote internship offers an excellent opportunity for postgraduate students to gain hands-on research experience in a cutting-edge field. You will assist senior researchers in data collection, cleaning, and analysis related to AI-powered learning platforms and educational technologies. Responsibilities include conducting literature reviews, identifying relevant datasets, and contributing to the development of research methodologies. You will also be involved in assisting with the preparation of research papers, presentations, and project documentation. The ideal candidate will possess strong analytical and quantitative skills, with experience in data analysis tools such as Python (with libraries like Pandas, NumPy), R, or similar. Familiarity with machine learning concepts and educational research methodologies is highly desirable. Excellent written and verbal communication skills are crucial for collaborating with the research team and documenting findings. This position requires meticulous attention to detail, strong organizational abilities, and the capacity to work independently and proactively in a remote setting.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Conduct literature reviews on AI in education topics.
- Assist in the collection, cleaning, and management of research data.
- Perform data analysis using statistical software and programming languages.
- Support the development and refinement of research methodologies.
- Contribute to the writing of research papers and reports.
- Prepare presentations and other research documentation.
- Collaborate with the research team on project tasks.
- Maintain organized research records and documentation.
- Stay updated on current trends in AI and education research.
Qualifications:
- Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Education, Data Science, or a related field.
- Strong analytical and quantitative skills.
- Experience with data analysis tools (e.g., Python, R, SPSS).
- Familiarity with AI/Machine Learning concepts is a strong asset.
- Excellent research and writing skills.
- Strong organizational and time management abilities.
- Ability to work independently and collaboratively in a remote environment.
- Enthusiasm for research in education technology.
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3
Machine Learning Engineer
53000 Thuy Van
WhatJobs
Posted today
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Job Description
Our client is seeking a talented and innovative Machine Learning Engineer to join their cutting-edge AI team in Hue, Thua Thien–Hue, VN . This role is crucial for developing and deploying advanced machine learning models that drive intelligent solutions. You will be responsible for designing, implementing, and optimizing ML algorithms, working with large datasets, and collaborating with data scientists and software engineers to integrate ML models into production systems. Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and deployment. You will also focus on MLOps practices, ensuring the scalability, reliability, and efficiency of ML pipelines. The ideal candidate will possess a strong understanding of various machine learning techniques, including supervised, unsupervised, and deep learning. Proficiency in programming languages like Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are essential. A solid foundation in mathematics, statistics, and algorithms is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a significant advantage. You should have excellent problem-solving skills, a keen analytical mind, and the ability to work effectively in a collaborative, fast-paced environment. This position requires a proactive approach to learning and staying updated with the latest advancements in AI and ML. You will contribute to developing state-of-the-art products and services, leveraging the power of artificial intelligence to solve real-world problems. This is an excellent opportunity for a motivated engineer to make a significant impact in the field of AI and contribute to pioneering projects.
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4
Machine Learning Engineer
400000 Hoang Hoa
WhatJobs
Posted today
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Job Description
Our client is seeking a talented and driven Machine Learning Engineer to join their innovative team based in Thanh Hoa, Thanh Hoa, VN . This role is essential for developing and deploying cutting-edge AI solutions that address complex business challenges. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model development, training, evaluation, and deployment. The ideal candidate will have a strong foundation in statistical modeling, algorithms, and programming, with practical experience in building and optimizing machine learning models. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable AI applications. Key responsibilities include designing and implementing ML pipelines, conducting experiments, and fine-tuning model parameters to achieve optimal performance. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in Python are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable. You will also be involved in monitoring model performance in production and identifying areas for improvement. Excellent problem-solving skills, a passion for continuous learning, and the ability to work effectively in a collaborative team environment are crucial. Join a pioneering company at the forefront of AI development and contribute to groundbreaking projects that are shaping the future of technology.
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5
Machine Learning Engineer
53000 Hoa Sơn
WhatJobs
Posted today
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Job Description
Our client is a rapidly growing AI startup seeking a talented Machine Learning Engineer to join their remote team. This role is pivotal in developing and deploying cutting-edge machine learning models and algorithms that power their innovative products. You will work on challenging problems in areas such as natural language processing, computer vision, and predictive analytics. The ideal candidate will have a strong foundation in computer science, mathematics, and a proven track record of building and deploying ML systems. Responsibilities include designing, training, and evaluating ML models, implementing ML pipelines, and collaborating with software engineers to integrate ML solutions into production environments. You will also stay abreast of the latest research in AI and machine learning, exploring new techniques to enhance our offerings. This is a fully remote position, requiring excellent communication skills and the ability to thrive in a collaborative, distributed work setting. If you are passionate about AI, possess strong programming skills, and are eager to make a significant impact, this is the perfect opportunity.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, train, and evaluate machine learning models and algorithms.
- Implement and maintain scalable ML pipelines and infrastructure.
- Process and analyze large datasets for ML model training and validation.
- Collaborate with software engineers to integrate ML models into production applications.
- Research and stay updated on the latest advancements in AI and machine learning.
- Develop and deploy MLOps practices for model deployment, monitoring, and management.
- Conduct A/B testing and experiments to optimize model performance.
- Write clean, efficient, and well-documented code.
- Contribute to the overall AI strategy and product development roadmap.
- Present findings and technical solutions to cross-functional teams.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 4 years of experience in machine learning engineering or data science roles.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Experience with MLOps tools and best practices is highly desirable.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills for remote work.
- Ability to work independently and manage projects effectively.
- Publications in top-tier AI conferences or journals are a plus.
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6
Machine Learning Engineer
900000 Can Tho , Can Tho
WhatJobs
Posted today
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Job Description
Our client is a pioneering technology firm that is expanding its capabilities in Artificial Intelligence and Machine Learning. We are actively seeking a highly skilled Machine Learning Engineer to join our fully remote, world-class team. This pivotal role involves the design, development, and deployment of scalable machine learning models and systems that drive innovative solutions. You will work on cutting-edge projects, applying your expertise in areas such as deep learning, natural language processing, computer vision, and predictive analytics. Your responsibilities will include building robust data pipelines, training and evaluating ML models, and optimizing them for performance and efficiency in production environments. The ideal candidate possesses a strong academic background in Computer Science, AI, or a related quantitative field, coupled with hands-on experience in implementing ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn. You should be proficient in programming languages such as Python and possess experience with cloud platforms (AWS, Azure, GCP) and big data technologies. We are looking for an individual who thrives in a remote setting, exhibits strong problem-solving abilities, and can translate complex data into actionable insights. Your ability to collaborate effectively with research scientists and software engineers, coupled with excellent communication skills, will be key to your success in this role. This is an exceptional opportunity to contribute to transformative AI projects and advance your career in a cutting-edge technological field.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, and maintain scalable machine learning systems and infrastructure.
- Develop and implement machine learning models for various applications (e.g., prediction, classification, recommendation).
- Preprocess and engineer features from large, complex datasets.
- Train, evaluate, and deploy ML models, ensuring optimal performance and accuracy.
- Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
- Monitor and maintain the performance of deployed ML models.
- Stay up-to-date with the latest advancements in machine learning and AI research.
- Write clean, efficient, and well-documented code.
- Contribute to the team's knowledge base and best practices.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong understanding of machine learning algorithms and techniques (supervised, unsupervised, deep learning).
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Experience with data processing and big data technologies (e.g., Spark, Hadoop).
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid software engineering skills, including version control (Git) and CI/CD.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
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7
Remote Machine Learning Engineer
000000 Hoa Sơn
WhatJobs
Posted today
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Job Description
Our client is looking for a skilled and passionate Remote Machine Learning Engineer to join their innovative AI team. This is a fully remote position that offers a unique opportunity to work on challenging problems at the forefront of artificial intelligence and machine learning. You will be instrumental in building, training, and deploying machine learning models that power cutting-edge applications. Your contributions will directly impact the development of intelligent systems and the advancement of our client's AI capabilities.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, train, and evaluate machine learning models using various algorithms and techniques.
- Implement and optimize ML pipelines for data processing, feature engineering, and model deployment.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Write clean, efficient, and well-documented code in Python or other relevant languages.
- Perform rigorous testing and validation of models to ensure accuracy and performance.
- Monitor deployed models, identify drift, and implement retraining strategies as needed.
- Stay updated on the latest research and advancements in machine learning and deep learning.
- Contribute to the design and architecture of ML systems and infrastructure.
- Participate in code reviews and knowledge sharing sessions within the team.
- Troubleshoot and resolve issues related to ML model performance and deployment.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field.
- Minimum of 3 years of hands-on experience as a Machine Learning Engineer or similar role.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras.
- Solid understanding of machine learning concepts, algorithms (e.g., regression, classification, clustering, deep learning), and statistical modeling.
- Experience with data preprocessing, feature selection, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Experience with MLOps principles and tools for model deployment and management is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, essential for remote work.
- Ability to work independently, manage priorities, and deliver results in a remote setting.
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8
Senior Machine Learning Engineer
55000 Hoa Sơn
WhatJobs
Posted today
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Job Description
Our client is looking for a talented and experienced Senior Machine Learning Engineer to join their innovative team in Da Nang, Da Nang, VN . This hybrid role requires a deep understanding of machine learning algorithms, data modeling, and software engineering best practices. You will be instrumental in designing, building, and deploying scalable machine learning systems that drive key business decisions. Key responsibilities include developing and implementing advanced machine learning models, optimizing model performance and scalability, building robust data pipelines for model training and inference, collaborating with data scientists and software engineers to integrate ML solutions into production environments, conducting experiments and evaluating model effectiveness, and mentoring junior engineers. The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field, with at least 5 years of professional experience in machine learning engineering. Expertise in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and related frameworks is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles is highly preferred. Strong understanding of statistical modeling, data analysis, and software development principles is required. Excellent problem-solving skills, communication abilities, and a passion for leveraging AI to solve real-world problems are vital. This is an excellent opportunity to work on challenging projects and contribute to the advancement of AI technology.
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