221 Artificial Intelligence 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.
[ea] Ai Tech Lead (Artificial Intelligence)
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- The Bosch Group is a leading global supplier of technology and services. In 2013, its roughly 281,000 associates generated sales of 46.4 billion Euros. Since the beginning of 2013, its operations have been divided into four business sectors: Automotive Technology, Industrial Technology, Consumer Goods, and Energy and Building Technology._
- The Bosch Group comprises Robert Bosch GmbH and its roughly 360 subsidiaries and regional companies in some 50 countries. If its sales and service partners are included, then Bosch is represented in roughly 150 countries. This worldwide development, manufacturing, and sales network is the foundation for further growth_
- BGSV - Bosch Global Software Technologies Company Limited (Previous name: RBVH - Robert Bosch Engineering and Business Solutions Vietnam Company Limited) is 100% owned subsidiary of Robert Bosch GmbH._
- BGSV has started its operations from 19th October, 2010 at E-Town2 in HCMC. This engineering development center will be engaged in developing embedded systems and software, mechanical design and simulation, and will provide IT (SAP Consulting, JAVA Development.) and Business Services (Finance and accounting, Economics, Purchasing, Logistics, Translations Japanese-English-Japanese, Information Security ) solutions to the Bosch group of companies globally._
**Job Description**:
- ** Work closely with a team of AI engineers and data scientists** to design, develop, and deploy AI solutions that align with the company's objectives and strategies.
- ** Lead and manage the end-to-end development** and deploymen**t** of AI projects, including planning, design, development, testing, and implementation.
- ** Provide technical guidance** and **mentorship** to the AI engineering team, ensuring best practices, efficient workflows, and adherence to quality standards.
- ** Design and develop scalable and reliable ML infrastructure**, including data pipelines, model training and evaluation systems, and model serving endpoints.
- Collaborate with data scientists and engineers to define requirements and best practices for **model development, testing, and deployment**.
**Qualifications**:
- Strong educational background with a degree in computer science, engineering, or a related field. A postgraduate degree in AI or machine learning is highly desirable.
- Proven experience (typically 5+ years) working in AI development, with a focus on **machine learning algorithms, natural language processing, computer vision, or deep learning**.
- Proficiency in programming languages commonly used in AI development, such as **Python, or C++,** and familiarity with relevant libraries and frameworks (e.g., **TensorFlow, PyTorch**,, ).
- Familiarity with cloud platforms and services for AI development and deployment, such as **AWS, Azure, or Google Cloud**.
- Excellent problem-solving and analytical skills, with the ability to **understand complex business requirements and translate them into technical solutions**:
- Technical hands-on experience in **system integration**:
- Effective communication skills, both verbal and written, with the **ability to explain complex AI concepts and technologies** to both technical and non-technical stakeholders.
Additional Information
Why **BOSCH**?
Because we don't just follow trends, we **create **them.
Because together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work.
**Benefits and Career Opportunities**
- Working in one of the **Best Places to Work i**n Vietnam
- Join a dynamic and fast growing global company (**English-speaking** environment)
- ** 13th-month salary bonus **+ attractive **performance bonus **(you'll love it!) + annual performance appraisal
- ** 100% monthly basic salary** and **mandatory social insurances** in 2-month probation
- ** Onsite opportunities**: short-term and long-term assignments
- ** 15+ days of annual leave **+ 1 day of birthday leave
- Premium health insurance for employee and **02 family members**:
- ** Flexible working time**:
- Lunch and parking allowance
- Various training on hot-trend technologies/ foreign language (English/Chinese/Japanese) and soft-skills
- ** Fitness & sport activities**: football, badminton, yoga, Aerobic
- Free in-house entertainment facilities and snack
- Join in various team building, company trip, year-end party, tech talks and a lot of charity events
Graduate Trainee - Data Science
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Graduate Trainee - Data Science
Posted 1 day ago
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Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Develop and implement machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Create data visualizations to communicate findings effectively.
- Collaborate with senior data scientists on various projects.
- Learn and apply data science methodologies and tools.
- Document analysis processes and model development steps.
- Contribute to team discussions and knowledge sharing.
- Support data-driven decision-making across the organization.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in Python or R programming languages.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving skills.
- Good communication and presentation skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- A strong desire to learn and grow in the field of data science.
Remote Junior Data Science Apprentice
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Responsibilities:
- Assist senior data scientists in data cleaning, preprocessing, and feature engineering.
- Develop data visualizations and dashboards to communicate insights effectively.
- Write and execute code for data analysis and statistical modeling using Python or R.
- Support the development and implementation of machine learning models.
- Collaborate with team members on data-driven projects and problem-solving.
- Learn and apply best practices in data science methodologies and tools.
- Document code and project findings clearly and concisely.
- Participate in regular training sessions and team meetings.
- Basic understanding of statistics, mathematics, and programming concepts.
- Familiarity with Python or R programming languages is a plus.
- Eagerness to learn data science principles and machine learning techniques.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent demonstrable experience.
Remote Data Science Graduate Intern
Posted 1 day ago
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Remote Graduate Trainee - Data Science
Posted 1 day ago
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Responsibilities:
- Assist in data cleaning, preprocessing, and feature engineering.
- Support the development and implementation of machine learning models.
- Perform exploratory data analysis and generate visualizations.
- Collaborate with senior data scientists on various analytical projects.
- Contribute to data pipeline development and maintenance.
- Research and evaluate new data science techniques and tools.
- Assist in the preparation of reports and presentations on analytical findings.
- Participate in team meetings and knowledge-sharing sessions.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Strong foundation in statistical analysis and machine learning concepts.
- Proficiency in Python or R programming.
- Experience with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with SQL for database querying.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities, suitable for a remote environment.
- Eagerness to learn and adapt in a fast-paced field.
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Remote Graduate Trainee - Data Science
Posted 1 day ago
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Key responsibilities include:
- Assisting in data collection, cleaning, and preprocessing from various sources.
- Performing exploratory data analysis to identify patterns and trends.
- Developing and implementing statistical models and machine learning algorithms.
- Collaborating with team members to understand data requirements and project goals.
- Visualizing data and results using tools like Tableau, Power BI, or Matplotlib.
- Documenting code, methodologies, and findings.
- Participating in team meetings and contributing to project discussions.
- Learning and applying new data science techniques and tools.
- Supporting the development of data-driven solutions and reports.
- Assisting in the validation and testing of models.
Remote Graduate Trainee - Data Science
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Develop and implement machine learning models and algorithms.
- Analyze large datasets to identify trends, patterns, and insights.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior data scientists on project tasks.
- Participate in code reviews and contribute to data pipelines.
- Learn and apply new data science techniques and tools.
- Present project results to team members and stakeholders.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning techniques.
- Proficiency in Python or R, including relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills for remote work.
- Eagerness to learn and adapt in a fast-paced environment.
Remote Graduate Trainee - Data Science
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and preparation for analysis.
- Perform exploratory data analysis to identify patterns and trends.
- Develop and implement statistical models and machine learning algorithms under supervision.
- Create data visualizations and reports to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand business requirements and data needs.
- Participate in code reviews and contribute to the development of data science pipelines.
- Stay updated with the latest advancements and best practices in data science and machine learning.
- Contribute to the documentation of data science projects and methodologies.
- Engage in learning activities and training sessions provided by the company.
- Support the broader data science team in ad-hoc analytical tasks.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms.
- Proficiency in programming languages such as Python or R.
- Familiarity with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Attention to detail and a commitment to data accuracy.
- A portfolio of personal data science projects is a plus.