216 Machine Learning jobs in Vietnam
Machine Learning Engineer
53000 Thuy Van
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Our client is seeking a talented and innovative Machine Learning Engineer to join their cutting-edge AI team in Hue, Thua Thien–Hue, VN . This role is crucial for developing and deploying advanced machine learning models that drive intelligent solutions. You will be responsible for designing, implementing, and optimizing ML algorithms, working with large datasets, and collaborating with data scientists and software engineers to integrate ML models into production systems. Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and deployment. You will also focus on MLOps practices, ensuring the scalability, reliability, and efficiency of ML pipelines. The ideal candidate will possess a strong understanding of various machine learning techniques, including supervised, unsupervised, and deep learning. Proficiency in programming languages like Python and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) are essential. A solid foundation in mathematics, statistics, and algorithms is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a significant advantage. You should have excellent problem-solving skills, a keen analytical mind, and the ability to work effectively in a collaborative, fast-paced environment. This position requires a proactive approach to learning and staying updated with the latest advancements in AI and ML. You will contribute to developing state-of-the-art products and services, leveraging the power of artificial intelligence to solve real-world problems. This is an excellent opportunity for a motivated engineer to make a significant impact in the field of AI and contribute to pioneering projects.
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0
Machine Learning Engineer
400000 Hoang Hoa
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Our client is seeking a talented and driven Machine Learning Engineer to join their innovative team based in Thanh Hoa, Thanh Hoa, VN . This role is essential for developing and deploying cutting-edge AI solutions that address complex business challenges. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model development, training, evaluation, and deployment. The ideal candidate will have a strong foundation in statistical modeling, algorithms, and programming, with practical experience in building and optimizing machine learning models. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable AI applications. Key responsibilities include designing and implementing ML pipelines, conducting experiments, and fine-tuning model parameters to achieve optimal performance. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in Python are essential. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable. You will also be involved in monitoring model performance in production and identifying areas for improvement. Excellent problem-solving skills, a passion for continuous learning, and the ability to work effectively in a collaborative team environment are crucial. Join a pioneering company at the forefront of AI development and contribute to groundbreaking projects that are shaping the future of technology.
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1
Machine Learning Engineer
53000 Hoa Sơn
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Our client is a rapidly growing AI startup seeking a talented Machine Learning Engineer to join their remote team. This role is pivotal in developing and deploying cutting-edge machine learning models and algorithms that power their innovative products. You will work on challenging problems in areas such as natural language processing, computer vision, and predictive analytics. The ideal candidate will have a strong foundation in computer science, mathematics, and a proven track record of building and deploying ML systems. Responsibilities include designing, training, and evaluating ML models, implementing ML pipelines, and collaborating with software engineers to integrate ML solutions into production environments. You will also stay abreast of the latest research in AI and machine learning, exploring new techniques to enhance our offerings. This is a fully remote position, requiring excellent communication skills and the ability to thrive in a collaborative, distributed work setting. If you are passionate about AI, possess strong programming skills, and are eager to make a significant impact, this is the perfect opportunity.
Key Responsibilities:
Qualifications:
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.
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2
Machine Learning Engineer
900000 Can Tho , Can Tho
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Our client is a pioneering technology firm that is expanding its capabilities in Artificial Intelligence and Machine Learning. We are actively seeking a highly skilled Machine Learning Engineer to join our fully remote, world-class team. This pivotal role involves the design, development, and deployment of scalable machine learning models and systems that drive innovative solutions. You will work on cutting-edge projects, applying your expertise in areas such as deep learning, natural language processing, computer vision, and predictive analytics. Your responsibilities will include building robust data pipelines, training and evaluating ML models, and optimizing them for performance and efficiency in production environments. The ideal candidate possesses a strong academic background in Computer Science, AI, or a related quantitative field, coupled with hands-on experience in implementing ML algorithms and frameworks like TensorFlow, PyTorch, or Scikit-learn. You should be proficient in programming languages such as Python and possess experience with cloud platforms (AWS, Azure, GCP) and big data technologies. We are looking for an individual who thrives in a remote setting, exhibits strong problem-solving abilities, and can translate complex data into actionable insights. Your ability to collaborate effectively with research scientists and software engineers, coupled with excellent communication skills, will be key to your success in this role. This is an exceptional opportunity to contribute to transformative AI projects and advance your career in a cutting-edge technological field.
Responsibilities:
Qualifications:
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.
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3
Machine Learning Engineer
Hanoi, Hanoi
JAC Recruitment Vietnam
Posted today
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Job Description
Examine EEG/EMG/EOG neural signals for the anticipation of user conditions such as concentration, tension, sentiment, sleep phases, and other pertinent particulars.
- 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
- 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
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4
Senior Machine Learning Engineer
510000 Thuy Van
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Our client is a leader in applying cutting-edge AI solutions to complex real-world problems. We are seeking a highly skilled Senior Machine Learning Engineer to join our innovative team in Hue. This role is central to the design, development, and deployment of advanced machine learning models that power our core products and services. You will be responsible for the end-to-end machine learning pipeline, from data ingestion and preprocessing to model training, evaluation, and deployment into production environments. Your expertise will be crucial in selecting appropriate algorithms, optimizing model performance, and ensuring scalability and reliability. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective ML solutions. This involves a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and MLOps practices. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a closely related quantitative field, with a minimum of 5 years of hands-on experience in developing and deploying machine learning models. Proven experience with large-scale data processing and cloud platforms (e.g., AWS, GCP, Azure) is highly desirable. Strong programming skills in Python and proficiency with relevant libraries (e.g., scikit-learn, pandas, numpy) are essential. Excellent problem-solving abilities, a strong understanding of ML lifecycle, and effective communication skills are required. This role requires a dedicated engineer to work on-site, contributing directly to the technical advancements of our AI initiatives. We are looking for a proactive, results-oriented individual passionate about leveraging machine learning to drive innovation and deliver impactful solutions. If you have a strong background in ML engineering and are eager to contribute to pioneering AI projects, we encourage you to apply.
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5
Senior Machine Learning Engineer
880000 Rach Gia, Kien Giang
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Our client is seeking an accomplished Senior Machine Learning Engineer to join their innovative AI and Emerging Technologies division, located in Rach Gia, Kien Giang, VN . This role offers a hybrid work arrangement, blending remote flexibility with essential in-office collaboration. The ideal candidate will have a strong foundation in machine learning algorithms, statistical modeling, and software engineering best practices. You will be responsible for designing, building, testing, and deploying machine learning models that solve complex business problems. This includes developing data processing pipelines, implementing feature engineering techniques, and optimizing model performance. The Senior ML Engineer will work closely with data scientists and software developers to integrate ML models into production systems and applications. Experience with large-scale datasets and distributed computing frameworks (e.g., Spark, Hadoop) is highly valued. Proficiency in Python and common ML libraries such as TensorFlow, PyTorch, and scikit-learn is mandatory. You will also be involved in researching and implementing state-of-the-art ML techniques and contributing to the overall AI strategy of the company. Mentoring junior engineers and providing technical leadership within the team will be a key aspect of this position. Our client is committed to fostering a collaborative and intellectually stimulating work environment. A Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field, along with significant hands-on experience in developing and deploying ML solutions, is required. This role offers the opportunity to work on challenging projects at the forefront of AI technology in a dynamic and supportive team.
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6
Senior Machine Learning Engineer
35000 Thai Binh , Thai Binh
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Our client is searching for a highly skilled Senior Machine Learning Engineer to join our advanced, fully remote AI team. This role is critical in developing, deploying, and scaling sophisticated machine learning models that drive innovation across our product lines. If you are a seasoned professional passionate about pushing the boundaries of AI and seeking a collaborative, remote-first environment, this is the perfect opportunity.
Responsibilities:
Qualifications:
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.
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.
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7
Remote Machine Learning Engineer
80000 Phan Thiet, Binh Thuan
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Our client is seeking a highly skilled and innovative Remote Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division. This is a fully remote position, offering the opportunity to work on challenging and impactful projects from anywhere. You will be responsible for designing, developing, and deploying machine learning models that solve complex business problems. The ideal candidate will have a strong foundation in computer science, mathematics, and machine learning algorithms, along with hands-on experience in building and deploying ML systems. You will work with large datasets, develop predictive models, and collaborate with data scientists and software engineers to integrate ML solutions into existing products and services.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, build, and train machine learning models and algorithms.
- Develop and implement scalable ML pipelines for data preprocessing, feature engineering, and model deployment.
- Collaborate with data scientists and stakeholders to understand business requirements and translate them into ML solutions.
- Evaluate and optimize model performance, ensuring accuracy and efficiency.
- Deploy ML models into production environments and monitor their performance.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Write clean, maintainable, and well-documented code.
- Troubleshoot and debug ML systems.
- Contribute to the development of best practices for ML development and deployment.
- Work with large datasets and big data technologies.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Proven experience as a Machine Learning Engineer or Data Scientist with a focus on ML.
- Strong programming skills in Python, R, or similar languages.
- Proficiency with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of statistical modeling and data mining techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
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8
Lead Machine Learning Engineer
520000 Thuy Van
WhatJobs
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Our client is seeking a highly skilled and experienced Lead Machine Learning Engineer to join our cutting-edge AI and Emerging Technologies division. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for designing, developing, and deploying advanced machine learning models and systems that drive innovation across our product portfolio. This role requires a deep understanding of ML algorithms, MLOps practices, and the ability to lead and mentor a team of talented engineers. You will work on challenging problems, from data preprocessing and feature engineering to model training, evaluation, and deployment at scale. Key Responsibilities:
- Lead the design, development, and implementation of scalable machine learning solutions.
- Develop and deploy production-ready ML models using state-of-the-art algorithms and frameworks.
- Build and maintain robust MLOps pipelines for continuous integration, delivery, and monitoring of ML models.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and innovation.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Identify and evaluate new machine learning technologies and techniques to improve model performance and efficiency.
- Ensure the quality, reliability, and performance of machine learning systems in production environments.
- Contribute to the architecture and design of our AI platform and infrastructure.
- Conduct research and experimentation to solve complex problems and explore new AI capabilities.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in machine learning engineering or a related role, with at least 2 years in a lead or senior capacity.
- Proven experience in developing and deploying machine learning models in production environments.
- Expertise in programming languages such as Python, Java, or C++.
- Strong proficiency with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- In-depth knowledge of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow, Kubeflow).
- Experience with cloud platforms such as AWS, Azure, or GCP and their ML services.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent leadership, communication, and collaboration skills.
- Ability to work effectively in a fully remote, fast-paced, and dynamic environment.
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