Gấp

AI Research (Sign-on bonus)

AI/ML AI/Artificial Intelligence Engineering

Icon salary Mức lương
Thương lượng
Icon Location Khu vực
Hanoi

Phúc lợi

Lương tháng 13 Lương tháng 13
Thưởng chỉ tiêu Thưởng chỉ tiêu
Cấp laptop Cấp laptop
Đánh giá lương hàng năm Đánh giá lương hàng năm
Phúc lợi khác Phúc lợi khác
Thời gian làm việc linh hoạt Thời gian làm việc linh hoạt

Tổng quan về công việc và trách nhiệm

– Directly involved in designing data pipelines for collecting, cleaning, and standardizing training datasets, as well as pipelines for training machine learning (ML), deep learning (DL), and generative models (LLM), and deploying them into production (serving). – Research and select appropriate ML, DL, and generative model algorithms tailored to specific problem statements. – Study and optimize model parameters, techniques, and training strategies to solve real-world cybersecurity challenges at VCS using machine learning, deep learning, and generative AI models.

Kỹ năng và kinh nghiệm tối thiểu

Educational Background: – Bachelor’s degree or higher in Computer Science, Information Technology, Mathematics-Informatics, or related fields. – English proficiency equivalent to TOEIC 650 or higher Requirements/Competencies: Technical Skills: – Minimum 5 years of experience in AI/ML, preferably with hands-on experience in training and optimizing ML, DL, and LLMs in large-scale projects. – Experience in building training datasets for generative models and effectively applying reinforcement learning techniques in generative model training is a strong plus. – Solid knowledge and practical experience in designing and implementing LLMOps environments within an organization. – Strong programming skills (proficient in at least one programming language). – Understanding of IT infrastructure architecture (e.g., SQL, NoSQL, services, microservices, tensor, containerization, message queues) is a plus. – Experience working with big data platforms such as Hadoop, Spark, Notebooks is an advantage. – In-depth understanding of data structures and algorithms.

Tại sao ứng viên nên làm ở đây

– Sign-on bonus – Competitive annual total income package – Opportunity to work with diverse domestic and international clients – Annual salary review in March – MIC health and personal accident insurance (coverage up to 600 million VND/year) – Annual health check-up – Awards recognizing performance and timely outstanding contributions – 100% sponsorship for in-depth international professional certification based on position (in case of unsuccessful attempt, don’t worry, VCS will support 50% of the exam fee), special bonuses for employees achieving international professional certifications Continuous investment in the latest and most up-to-date learning materials in the field of Information Security from leading global vendors and institutes – 100% of employees are provided with an Udemy eLearning account – learn anytime, anywhere – Free participation in professional knowledge sharing programs and seminars from leading domestic and international speakers – Working in a Grade A office – Landmark 72 building with a green space complex and a private area for gym and entertainment (billiards, PES, café, reading, Pingpong) – 30-minute relaxation daily with Happy hours (4:00 PM – 4:30 PM) – Sports activities: Football, Billiards, Poker, PES clubs, etc – 12 days of annual leave according to Labor Law and 3 days of company vacation, traditional holiday on 22/12 – Working in a Grade A office – Landmark 72 building with a green space complex and a private area for gym and entertainment (billiards, PES, café, reading, Pingpong) – 30-minute relaxation daily with Happy hours (4:00 PM – 4:30 PM) – Sports activities: Football, Billiards, Poker, PES clubs, etc

Ưu tiên có kỹ năng và kinh nghiệm

– Strong system-thinking mindset, with the ability to solve complex product-oriented problems – Effective communicator capable of clearly explaining technical solutions to both technical and non-technical audiences – Demonstrated ability to lead and mentor teams

Báo cáo cho

Quản lý bộ phận AI

Quá trình phỏng vấn

2 vòng: Technical interview -> Trao đổi với công ty

Harrison Yeong

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