240 E Learning jobs in Vietnam
Machine Learning Engineer
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Machine Learning Engineer
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Machine Learning Engineer
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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.
Machine Learning Engineer
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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.
Learning Solutions Manager
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- Bảo hiểm
- Du Lịch
- Phụ cấp
- Chăm sóc sức khỏe
- Tăng lương
- Chế độ nghỉ phép
**Mô Tả Công Việc**:
- Build and conduct Future Skills plan to enable the development and growth of our employees for overall business effectiveness optimization
- Facilitate, inspire and coordinate with internal and external partners to develop future capabilities for organization
- Plan & oversee Future Skills budget to ensure the maximum productivity
- Build and enhance a broad range of relationships with learning stakeholders including internal and external trainers, learning ambassadors, business heads, and learning service providers
- Design, deliver and maintain Future Skills programs, contents, frameworks, roadmaps, tools, resources and materials
- Develop all innovative and engaging tools and platforms for a more dynamic learning community
- Manage Future Skills Data collection and analysis to evaluate impact and effectiveness of activities through evaluation methods and key metrics
**Yêu Cầu Công Việc**:
- Bachelor’s Degree in Pedagogy, Education, Social Sciences, Foreign Languages
- At least 5 years’ experience in related field (HR, Training, L&D)
- Profound understanding of Corporate Training Solution
- Good in planning and implementing corporate training
- Good in breakthrough and innovative training initiatives
- Proficiency in virtually interactive learning tools and platforms
- Good in both Vietnamese & English
Job tags: Learning Solutions Manager
Machine Learning Engineer
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- Forge machine learning patterns for the scrutiny of substantial data volumes from assorted origins and establish anticipatory blueprints that furnish insights into user conditions and conduct.
- Fabricate and sustain endorsement systems and well-being aides utilizing cutting-edge machine learning methodologies.
- Explore brain and auditory stimulations for augmenting sleep, enhancing cognitive capabilities, addressing psychological concerns, and other aspects of unlocking cerebral potentials.
- Operate in close collaboration with fellow team constituents, including neuroscientists, software developers, and product overseers, to furnish top-notch merchandise and services.
- Conspire with multifaceted teams to invent and implement algorithms and blueprints to resolve intricate predicaments.
**JOB REQUIREMENTS**
- Bachelor's, Master's degree, or an advanced qualification in Computer Science, Electrical Engineering, or a correlated domain
- A minimum of 3 years of involvement in fabricating machine learning blueprints and employing machine learning methodologies in the sector
- Proficient coding abilities in Python (and/or C/C++) and familiarity with profound learning frameworks like TensorFlow, PyTorch, or Keras
- **Alternative 1**_: Firm grasp of signal manipulation methodologies and/or exposure to handling EEG cerebral signals
- **Alternative 2**:_ Proficiency in natural language processing (c), conversational agents, and/or endorsement systems,.
- Potent aptitude for analysis and complication resolution
- Effective interaction and cooperation proficiencies
**BENEFITS**
- Prospect to acquire knowledge and advance, opportunity to align with a promising enterprise.
- Transparent protocol for evaluating performance, recognition, and career advancement.
- Complete salary throughout the trial phase.
- Complimentary midday meal at the workplace, gratis motorbike storage.
- Compensated time off: 12 days per year.
- Team bonding, joyful lunches, convivial hours, and numerous captivating cultural events.
- Wellness provisions: Yearly health assessment; State welfare coverage; Medical insurance.
**Salary**: 40,000,000₫ - 70,000,000₫ per month
Senior Machine Learning Engineer
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Online Learning Platform Administrator
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Key Responsibilities:
- Administer and maintain the learning management system (LMS), ensuring its smooth operation and user accessibility.
- Configure course settings, user roles, and permissions within the LMS.
- Develop and implement strategies to enhance the user experience on the online learning platform.
- Provide technical support and troubleshooting assistance to students and instructors regarding LMS issues.
- Create and deliver training materials and sessions for users on how to effectively use the platform.
- Manage course content upload, organization, and updates, ensuring accuracy and relevance.
- Monitor platform performance, identify issues, and implement solutions.
- Generate reports on user activity, course completion rates, and other relevant metrics.
- Collaborate with instructional designers and content creators to ensure content is optimized for the LMS.
- Stay updated with the latest trends and best practices in e-learning and educational technology.
- Implement new features and functionalities to improve the learning environment.
- Ensure data privacy and security protocols are maintained within the LMS.
- Assist in the evaluation and selection of new learning technologies and tools.
- Contribute to the continuous improvement of the online learning program.
- Manage user accounts and ensure proper onboarding and offboarding processes.
Qualifications:
- Bachelor's degree in Education, Information Technology, Computer Science, or a related field.
- Proven experience as an LMS Administrator or in a similar role managing online learning platforms.
- Proficiency with various Learning Management Systems (e.g., Moodle, Canvas, Blackboard).
- Strong understanding of e-learning principles and instructional design concepts.
- Excellent technical troubleshooting and problem-solving skills.
- Strong communication, interpersonal, and customer service skills.
- Ability to create clear and effective training materials and documentation.
- Proficiency in data analysis and report generation.
- Experience with content management systems (CMS) is a plus.
- Familiarity with web technologies and basic HTML/CSS is beneficial.
- Highly organized with excellent attention to detail.
- Ability to work independently and manage workload effectively in a remote setting.
- Passion for education and technology.
Senior Machine Learning Engineer
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Senior Machine Learning Engineer
Posted today
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Job Description
Responsibilities:
- Design, build, and maintain production-ready machine learning systems and pipelines.
- Collaborate with data scientists and software engineers to deploy ML models into production environments.
- Optimize model performance for speed, scalability, and accuracy.
- Develop and implement A/B testing frameworks for evaluating ML models.
- Stay current with the latest advancements in ML technologies and methodologies.
- Contribute to the development of internal tools and libraries to improve the ML workflow.
- Troubleshoot and resolve issues in production ML systems.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Ensure the ethical and responsible deployment of AI technologies.
- Work closely with product managers to understand business needs and translate them into technical requirements.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- 5+ years of experience in developing and deploying machine learning models in a production setting.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (Docker, Kubernetes, MLflow).
- Solid understanding of data structures, algorithms, and software engineering best practices.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work effectively in a remote, fast-paced environment.
- Strong communication and collaboration skills.
This fully remote role offers the chance to make a significant impact on our client's AI initiatives, providing flexibility and professional growth from anywhere in Vietnam.