Design and Develop AI Models and Algorithms: Create and implement artificial intelligence systems by designing and developing algorithms from scratch. Work on tasks such as speech recognition, image processing, and decision-making processes within business applications. Integrate AI Solutions: Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. This involves writing code, deploying models to production, and continuously monitoring and updating them as needed. Manage Data Flow and Infrastructure: Handle the data flow and infrastructure necessary for effective AI deployment. This includes managing data pipelines, storage, and processing resources. Generative AI: Collect and preprocess data to ensure it is suitable for training generative models. This may involve handling large datasets, augmenting data, and ensuring high data quality. Fine-tune hyperparameters and deploy generative models into production environments. Stay current with the latest advancements in generative AI, machine learning, and related fields. Collaborate Across Teams: Collaborate with other teams to align AI initiatives with organizational goals. Effective communication and teamwork are essential for successful AI implementation.
Design and Develop AI Models and Algorithms: Create and implement artificial intelligence systems by designing and developing algorithms from scratch. Work on tasks such as speech recognition, image processing, and decision-making processes within business applications.
Design and Develop AI Models and Algorithms:
Create and implement artificial intelligence systems by designing and developing algorithms from scratch. Work on tasks such as speech recognition, image processing, and decision-making processes within business applications.
Create and implement artificial intelligence systems by designing and developing algorithms from scratch.
Work on tasks such as speech recognition, image processing, and decision-making processes within business applications.
Integrate AI Solutions: Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. This involves writing code, deploying models to production, and continuously monitoring and updating them as needed.
Integrate AI Solutions:
Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction. This involves writing code, deploying models to production, and continuously monitoring and updating them as needed.
Manage Data Flow and Infrastructure: Handle the data flow and infrastructure necessary for effective AI deployment. This includes managing data pipelines, storage, and processing resources.
Manage Data Flow and Infrastructure:
Handle the data flow and infrastructure necessary for effective AI deployment. This includes managing data pipelines, storage, and processing resources.
Generative AI: Collect and preprocess data to ensure it is suitable for training generative models. This may involve handling large datasets, augmenting data, and ensuring high data quality. Fine-tune hyperparameters and deploy generative models into production environments. Stay current with the latest advancements in generative AI, machine learning, and related fields.
Generative AI:
Collect and preprocess data to ensure it is suitable for training generative models. This may involve handling large datasets, augmenting data, and ensuring high data quality. Fine-tune hyperparameters and deploy generative models into production environments. Stay current with the latest advancements in generative AI, machine learning, and related fields.
Collect and preprocess data to ensure it is suitable for training generative models. This may involve handling large datasets, augmenting data, and ensuring high data quality.
Fine-tune hyperparameters and deploy generative models into production environments.
Stay current with the latest advancements in generative AI, machine learning, and related fields.
Collaborate Across Teams: Collaborate with other teams to align AI initiatives with organizational goals. Effective communication and teamwork are essential for successful AI implementation.
Collaborate Across Teams:
Collaborate with other teams to align AI initiatives with organizational goals. Effective communication and teamwork are essential for successful AI implementation.

Bachelor or higher degree in Computer Science or related fields. At least 3 years of experience in machine learning, deep learning, NLP, and computer vision. Familiarity with AI frameworks such as TensorFlow or PyTorch. Proficiency in programming languages such as Python, and experience with AI frameworks like OpenAI’s GPT, Copilot, or similar. Proven experience in developing and refining prompts for AI applications. Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) techniques is highly desirable. Proficiency in English communication.
Bachelor or higher degree in Computer Science or related fields.
At least 3 years of experience in machine learning, deep learning, NLP, and computer vision.
Familiarity with AI frameworks such as TensorFlow or PyTorch.
Proficiency in programming languages such as Python, and experience with AI frameworks like OpenAI’s GPT, Copilot, or similar.
Proven experience in developing and refining prompts for AI applications.
Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) techniques is highly desirable.
Proficiency in English communication.

Caring Mental & Physical Recreation:
Hybrid working: 2 days at the office and 3 days WFH Working hour: Flexible start 8AM-9AM from Mon-Fri Full salary in probation Insurance: Applied from Probation period: Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) Private health insurance & accident insurance. From Managing level: extra for family members Bonus: 13th month salary 16 - 24 paid days off and more Paternity leave: Extra 5 days Annual company trip; Quarterly team building Billiards & Running club Annual health check Well-equipped facility: Macbook pro, additional monitor,..
Hybrid working: 2 days at the office and 3 days WFH
Working hour: Flexible start 8AM-9AM from Mon-Fri
Full salary in probation
Insurance: Applied from Probation period: Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) Private health insurance & accident insurance. From Managing level: extra for family members
Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary) Private health insurance & accident insurance. From Managing level: extra for family members
Social Insurance, Health Insurance, Unemployment Insurance (on 100% salary)
Private health insurance & accident insurance. From Managing level: extra for family members
Bonus: 13th month salary
16 - 24 paid days off and more
Paternity leave: Extra 5 days
Annual company trip; Quarterly team building
Billiards & Running club
Annual health check
Well-equipped facility: Macbook pro, additional monitor,..
Caring Career & Development:
Clear Career path Foreign language & International technology-related certifications sponsoring External & internal training courses Soft-skill workshops Tech seminars Monthly and biannual Recognition Awards Performance & salary review: twice/year (Jun & Dec)
Clear Career path
Foreign language & International technology-related certifications sponsoring
External & internal training courses
Soft-skill workshops
Tech seminars
Monthly and biannual Recognition Awards
Performance & salary review: twice/year (Jun & Dec)

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Hạn nộp hồ sơ: 24/10/2024

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