236 AI Engineer jobs in Vietnam
Ai Engineer
Posted today
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- Develop and implement AI models and algorithms.
- Integrate AI solutions into existing systems.
- Collaborate with cross-functional teams to identify business problems and develop AI solutions that meet business requirements.
- Research, evaluate and propose new AI technologies and trends.
- Continuously learn and keep up with the latest AI trends and technologies.
- Communicate technical concepts to non-technical stakeholders.
**Requirements**:
- Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.
- 3+ years of experience in developing AI solutions in a professional setting.
- Proven experience in developing and implementing AI models and algorithms.
- Strong programming skills in languages like Python, and SQL.
- Experience with popular AI frameworks like TensorFlow, PyTorch.
- Experience with building and deploying AI solutions in a production environment
- Familiarity with data preprocessing and data augmentation techniques for AI models
- Strong understanding of deep learning architectures like CNNs, RNNs, and LSTMs
- Experience with data visualization and reporting tools like Matplotib
- Excellent problem-solving and analytical skills.
- Strong collaboration and communication skills.
- Experience with natural language processing, computer vision, and/or speech recognition.
- Familiarity with DevOps and CI/CD pipelines for AI solutions.
Loại hình công việc: Toàn thời gian
Lương: Từ 1₫ một tháng
Trình độ học vấn:
- Đại học (Bắt buộc)
Kinh nghiệm làm việc:
- AI Engineer: 2 năm (Ưu tiên)
Ngôn ngữ:
- English (Ưu tiên)
Lead AI Engineer
Posted 1 day ago
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Key Responsibilities:
- Lead the development and deployment of AI/ML models and systems.
- Mentor and guide a team of AI engineers and data scientists.
- Design and implement scalable machine learning pipelines.
- Develop and optimize AI algorithms for various applications.
- Collaborate with stakeholders to define AI project requirements.
- Ensure the quality, performance, and reliability of AI solutions.
- Stay current with AI trends and best practices.
- Contribute to MLOps strategies for production AI.
- Communicate technical findings to diverse audiences.
- Master's or Ph.D. in Computer Science, AI, or a related field.
- Minimum 7 years of experience in AI engineering and machine learning.
- Proven experience leading AI/ML projects and teams.
- Expertise in Python and AI/ML frameworks (TensorFlow, PyTorch).
- Strong understanding of cloud platforms and MLOps.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal abilities.
- Demonstrated ability to work effectively in a remote team environment.
Senior AI Engineer
Posted 20 days ago
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Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
+ **Your day at NTT DATA**
The Senior AI Software Applications Development Engineer is an advanced subject matter expert, responsible for developing new applications and improve upon existing applications based on the needs of the internal organization and / or external clients.
**Key responsibilities:**
+ Collaborate with cross-functional teams to integrate AI solutions into products and services.
+ Conduct research to advance the state-of-the-art in AI, particularly in the areas of natural
+ language/image processing and generation.
+ Optimize and fine-tune models for performance, scalability, and efficiency.
+ Stay up-to-date with the latest advancements in AI and machine learning, and apply them to solve complex problems.
+ Develop and maintain documentation for AI models and systems.
**To thrive in this role, you need to have:**
+ In-depth knowledge of machine learning, deep learning, and generative AI techniques
+ Proficiency in programming languages such as Python, and frameworks like TensorFlow or PyTorch
+ Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models
+ Familiar with computer vision techniques for image recognition, object detection, or image generation
+ Experience with cloud platforms such as Azure or AWS
+ Expertise in data engineering, including data curation, cleaning, and preprocessing
+ Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems
+ Well driving innovation and staying updated with the latest AI research and advancements
+ Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
+ Experience as technical consultant is a plus
+ Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
+ Strong communication skill to collaborate effectively with stakeholders at various levels.
+ Good communication & writing in English.
**Academic qualifications and certifications:**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related fields
+ Scrum / Project Management certification preferred.
**Required experience:**
+ Minimum 3 years of experience in Data Science and Machine Learning
+ Minimum 1 year of experience in developing applications with GenAI/LLM
+ Advanced experienced with Linux or Unix and Windows operating systems.
+ Advanced experience working with SQL.
+ Advanced project management experience and/or experience working in an Agile environment.
**Workplace type** **:**
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
Senior Ai Engineer
Posted today
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- KMS Technology focuses on custom software development and a wide variety of consulting services
- KMS Healthcare specialises in the healthcare industry, provides a unique blend of consultative healthcare technology solutions backed by the power of full lifecycle development support
- KMS Solutions serves the Asia Pacific region, bringing the world's innovative technologies to help organizations achieve their business goals through world-class digital capabilities and fit-for-purpose solutions
Besides providing services, KMS builds and successfully launches its own software companies through its internal startup incubator, KMS Labs. The most notable companies with millions of users worldwide include QASymphony, Kobiton, Katalon, Grove, and Visily.
KMS is committed to providing tangible contributions and long-lasting impacts to the communities through leveraging our IT expertise. The company has also been recognized by prestigious industry awards as a great workplace in Vietnam, Asia, and the U.S. for many years in a row.
**Responsibilities**:
- Study and transform data science prototypes
- Design and develop machine learning systems
- Research and Implement appropriate ML algorithms
- Perform statistical analysis and fine-tuning using test results
- Train and retrain system
- Extent existing ML libraries if necessary
- Follow given procedures and instructions to produce well-designed, testable and clean code
- Perform other duties as assigned
**Qualifications**:
- Strong experience in computer vision
- Strong programming skills in Python, JavaScript
- Good foundation in math and algorithms
- Have knowledge of Neural Networks
- Experience in using ML frameworks such as TensorFlow/ Keras/ PyTorch
**Benefits and Perks**:
**_ Perks You'll Enjoy_**
- Working in one of the Best Places to Work in Vietnam
- Building large-scale & global software products
- Working & growing with Passionate & Talented Team
- Diverse careers opportunities with Software Outsourcing, Software Product Development, IT Solutions & Consulting
- Attractive Salary and Benefits
- Two performance appraisals every year and performance bonus
- Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia.
- Flexible working time
- Various training on hot-trend technologies, best practices and soft skills
- Premium healthcare insurance for you and your loved ones
- Company trip, big annual year-end party every year, team building, etc.
- Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming,
- Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,
- Free in-house entertainment facilities (foosball, ping pong, gym ), coffee, and snack (instant noodles, cookies, candies )
And much more, join us and let yourself explore other fantastic things!
Lead AI Engineer - Machine Learning
Posted today
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Lead AI Engineer - Machine Learning
Posted today
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Job Description
Key Responsibilities:
- Lead the research, development, and implementation of advanced machine learning models and algorithms (e.g., NLP, computer vision, reinforcement learning).
- Design and build scalable AI/ML systems and pipelines for data processing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI project requirements and roadmaps.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research, and identify opportunities for applying new techniques.
- Ensure the performance, scalability, and reliability of AI solutions in production environments.
- Develop and implement best practices for MLOps, including model versioning, monitoring, and retraining strategies.
- Contribute to the architectural design of AI platforms and infrastructure.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Evaluate and integrate new AI technologies and tools to enhance the team's capabilities.
- Write high-quality, production-ready code in languages such as Python, utilizing libraries like TensorFlow, PyTorch, and scikit-learn.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of hands-on experience in machine learning and AI development, with at least 2 years in a lead or senior capacity.
- Proven track record of successfully designing, building, and deploying production-level AI/ML models.
- Deep expertise in various machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages like Python and experience with ML frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management abilities, with experience mentoring junior engineers.
- Exceptional communication and collaboration skills, essential for effective remote teamwork.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
Principal AI Engineer, Machine Learning
Posted today
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Lead AI Engineer - Machine Learning
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Principal AI Engineer, Machine Learning
Posted today
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced machine learning models.
- Architect and build scalable and robust ML pipelines and infrastructure.
- Conduct research and experimentation to explore new AI techniques and algorithms.
- Collaborate with data scientists to translate research into production-ready solutions.
- Optimize model performance and deploy ML solutions into production environments.
- Mentor and guide other engineers on the AI/ML team.
- Stay current with the latest trends and advancements in AI and machine learning.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 8+ years of experience in AI and machine learning.
- Proven experience in developing and deploying production-level ML models.
- Expertise in ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong programming skills in Python, Java, or C++.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving, analytical, and communication skills.
Remote Senior AI Engineer
Posted today
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Job Description
Key responsibilities in this remote role include:
- Designing, developing, and implementing advanced machine learning models and algorithms for various applications, including predictive analytics, natural language processing, and computer vision.
- Building and optimizing deep learning architectures using frameworks such as TensorFlow, PyTorch, or Keras.
- Developing and deploying scalable AI solutions on cloud platforms (e.g., AWS, Azure, GCP).
- Collaborating with data scientists, software engineers, and product managers to integrate AI models into production systems.
- Conducting research on new AI techniques and technologies to identify opportunities for innovation.
- Evaluating and improving the performance of AI models through rigorous testing and validation.
- Managing the end-to-end lifecycle of AI projects, from data acquisition and preprocessing to model deployment and monitoring.
- Writing clean, efficient, and well-documented code in Python or other relevant programming languages.
- Staying current with the latest advancements in AI and machine learning research.
- Contributing to the technical strategy and roadmap for AI initiatives.
- Mentoring junior engineers and sharing knowledge within the team.