AI Research

Job overview and responsibility– 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.Required skills and experiences– Bachelor’s degree or higher in Computer Science, Information Technology, Mathematics-Informatics, or related fields.– English proficiency equivalent to TOEIC 650 or higher– 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.Preferred skills and experiences– 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 teamsWhy Candidate should apply this position– Sign-on bonus– Competitive annual total income package– Opportunity to work with diverse domestic and international clients– Annual salary review in March