253 AI Ml Engineer jobs in Vietnam
AI/ML Engineer - Natural Language Processing
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Key Responsibilities:
- Design, build, and train machine learning models for NLP tasks using state-of-the-art algorithms and frameworks.
- Develop and implement NLP pipelines for data preprocessing, feature extraction, and model evaluation.
- Collaborate with data scientists and software engineers to integrate AI/ML models into production systems.
- Conduct research on new NLP techniques and technologies to enhance model performance and capabilities.
- Optimize model performance for efficiency, scalability, and accuracy.
- Write clean, well-documented, and maintainable code in Python or other relevant programming languages.
- Stay updated with the latest advancements in AI, ML, and NLP research and apply them to projects.
- Work with large datasets, ensuring data quality and integrity for model training.
- Participate in code reviews and contribute to team knowledge sharing.
- Present findings and project updates to technical and non-technical stakeholders.
We require a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A strong portfolio of AI/ML projects, particularly in NLP, is highly valued. Proven experience with Python and relevant libraries such as TensorFlow, PyTorch, Keras, scikit-learn, NLTK, and spaCy is essential. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving skills, a strong understanding of statistical concepts, and the ability to work effectively in a team environment are critical. If you are a driven AI/ML professional looking to push the boundaries of NLP technology, this is an exceptional opportunity.
Senior AI/ML Engineer - Natural Language Processing
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Senior AI/ML Engineer - Natural Language Processing (Remote)
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Key Responsibilities:
- Develop and implement advanced Natural Language Processing (NLP) models.
- Design, train, and deploy machine learning algorithms for language understanding and generation.
- Work with large text datasets for preprocessing, feature engineering, and analysis.
- Utilize Python and key NLP libraries (TensorFlow, PyTorch, spaCy, Hugging Face).
- Build and optimize end-to-end NLP pipelines for various applications.
- Collaborate with cross-functional teams in a remote, agile environment.
- Ensure the scalability, performance, and accuracy of AI models.
- Contribute to NLP research and development efforts.
- Evaluate and integrate new NLP technologies and techniques.
- Document models, algorithms, and processes.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- 5+ years of experience in AI/ML, with a specialization in NLP.
- Strong programming skills in Python.
- Expertise in NLP libraries and frameworks (e.g., TensorFlow, PyTorch, spaCy, NLTK, Hugging Face).
- Proven experience with Transformer models and other advanced NLP architectures.
- Familiarity with cloud platforms for ML deployment (e.g., AWS SageMaker, GCP AI Platform).
- Excellent understanding of machine learning principles and statistical modeling.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills for remote work.
AI/ML Engineer
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Key tasks involve building and maintaining machine learning pipelines, conducting experiments to test hypotheses, and staying current with the latest research and developments in the AI/ML field. You will collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into our client's products and services. Proficiency in programming languages such as Python, along with experience using libraries like TensorFlow, PyTorch, and scikit-learn, is essential. Familiarity with cloud computing platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is also highly valued.
The ideal candidate possesses strong analytical and problem-solving skills, a meticulous approach to coding, and the ability to communicate technical concepts effectively. A master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field is required, along with demonstrable experience in developing and deploying ML models. This is an exceptional opportunity for an AI enthusiast to contribute to groundbreaking projects and shape the future of AI from the comfort of their home office.
AI/ML Engineer
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Key Responsibilities:
- Design, build, and train machine learning models using various algorithms and techniques.
- Develop and implement AI solutions for complex problems, such as natural language processing, computer vision, and predictive analytics.
- Process, clean, and analyze large datasets to extract meaningful insights.
- Evaluate model performance, optimize hyperparameters, and ensure scalability.
- Deploy machine learning models into production environments.
- Collaborate with cross-functional teams to understand business needs and translate them into AI/ML requirements.
- Stay current with the latest research and advancements in AI and machine learning.
- Develop and maintain robust ML pipelines and MLOps practices.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Contribute to the company's AI strategy and research initiatives.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in AI/ML engineering or data science.
- Proficiency in programming languages commonly used in AI/ML, such as Python.
- Hands-on experience with AI/ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, Keras.
- Strong understanding of algorithms, data structures, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, essential for remote work.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with deep learning concepts and architectures.
Join a pioneering team and shape the future of AI. This role is fully remote, offering an exceptional opportunity for experienced professionals in or connected to Vung Tau, Ba Ria–Vung Tau, VN .
Senior AI/ML Engineer
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Responsibilities:
- Design, build, and deploy robust machine learning models and AI pipelines.
- Develop and implement algorithms for data preprocessing, feature engineering, and model evaluation.
- Collaborate with data scientists and domain experts to understand business requirements and translate them into AI solutions.
- Optimize model performance for scalability and efficiency in production environments.
- Implement MLOps practices for model versioning, deployment, monitoring, and retraining.
- Stay updated with the latest advancements in AI, machine learning, and deep learning.
- Write clean, maintainable, and well-documented code.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Participate in code reviews and architectural discussions.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, or a related field, or equivalent practical experience.
- Minimum of 6 years of experience in software development with a focus on machine learning and AI.
- Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data structures, algorithms, and software design patterns.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with MLOps tools and best practices.
- Excellent analytical, problem-solving, and debugging skills.
- Effective communication and collaboration abilities.
Senior AI/ML Engineer
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Remote AI/ML Engineer
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Remote AI/ML Engineer
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models and AI algorithms.
- Preprocess and analyze large datasets for model training.
- Evaluate and optimize model performance for accuracy and efficiency.
- Deploy ML models into production environments.
- Collaborate with cross-functional teams on AI/ML projects.
- Research and implement new AI/ML techniques and technologies.
- Build and maintain ML pipelines and infrastructure.
- Develop and present findings from data analysis and model performance.
- Ensure the scalability and reliability of AI solutions.
- Contribute to the overall AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering or data science.
- Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) for ML.
- Solid understanding of statistical modeling and data mining techniques.
- Experience with deep learning, NLP, or computer vision is a plus.
- Excellent problem-solving and analytical skills.
- Ability to work effectively in a remote, collaborative team environment.
- Strong written and verbal communication skills.
Senior AI/ML Engineer
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As a Senior AI/ML Engineer, you will be instrumental in the design, development, implementation, and deployment of AI/ML models and solutions. Your responsibilities will include researching, experimenting with, and applying various ML algorithms and deep learning frameworks to address specific business needs. You will work with large datasets, perform data preprocessing, feature engineering, and model training, validation, and optimization. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be essential to integrate AI/ML capabilities into our products and services. This role requires expertise in programming languages like Python, along with proficiency in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras. You will be responsible for deploying models into production environments, monitoring their performance, and iterating on them for continuous improvement. The Senior AI/ML Engineer will also contribute to the architecture of scalable AI systems, evaluate new technologies, and mentor junior team members. A strong understanding of MLOps practices for model lifecycle management is highly desirable. You will be expected to stay abreast of the latest research and developments in the AI/ML field and translate them into practical applications.
Key Responsibilities:
- Design, develop, and implement AI/ML models and algorithms.
- Perform data collection, preprocessing, and feature engineering for ML tasks.
- Train, validate, and optimize machine learning models for performance and accuracy.
- Deploy AI/ML models into production environments and monitor their performance.
- Collaborate with software engineers to integrate ML solutions into existing systems.
- Research and evaluate new AI/ML technologies and methodologies.
- Contribute to the architecture of scalable and robust AI systems.
- Develop and maintain MLOps pipelines for model lifecycle management.
- Mentor junior AI/ML engineers and share technical expertise.
- Stay up-to-date with the latest advancements in AI and machine learning.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
- Minimum of 7 years of professional experience in AI/ML development and deployment.
- Proven track record of building and deploying successful AI/ML models in production.
- Expertise in Python and ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.
- Strong understanding of various ML algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Solid understanding of software development best practices and MLOps.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage complex projects effectively.