148 Model Training 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.
Graduate Trainee - Data Science
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Graduate Trainee - Data Science
Posted 2 days 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 2 days ago
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Remote Graduate Trainee - Data Science
Posted 2 days 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 2 days ago
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Job Description
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 2 days 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 2 days 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.