131 AI Evangelist 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
Posted today
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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.
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
Remote Machine Learning Engineer
Posted today
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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.
Senior Machine Learning Engineer
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AI/Machine Learning Engineer
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Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess, clean, and analyze large datasets for model training.
- Train, evaluate, and optimize ML models using various frameworks (TensorFlow, PyTorch).
- Develop and deploy AI solutions into production environments.
- Collaborate with cross-functional teams to integrate ML capabilities into products.
- Research and stay current with advancements in AI and machine learning.
- Write efficient, maintainable, and well-documented code.
- Contribute to the development of AI strategy and roadmap.
- Troubleshoot and debug ML systems.
- Present findings and model performance to technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Data Science, AI, or a related quantitative field.
- Minimum of 3 years of professional experience in AI/Machine Learning development.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with data manipulation and analysis tools (Pandas, NumPy).
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment.
- Solid understanding of statistical modeling, deep learning, and algorithm design.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work effectively in a hybrid team environment.
Senior Machine Learning Engineer
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Senior Machine Learning Engineer
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