- 33A, Jln Simfoni 1, Menara Simfoni Balakong 43300 Malaysia 43300

Working Location
Job Description
Requirements
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
1-2 years of hands-on experience in developing and deploying AI/ML models.
Proficiency in programming languages commonly used in AI/ML, such as Python, and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with data preprocessing, feature engineering, model training, evaluation, and deployment.
Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
Strong understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP) techniques, and computer vision principles.
Excellent problem-solving skills and the ability to translate business problems into AI solutions.
Effective communication skills in both English and Mandarin, with the ability to explain complex technical concepts to diverse audiences.
Proven ability to work collaboratively in a team environment.
Mandarin language proficiency is essential for this role, enabling effective communication with stakeholders and potential clients.
Experienced in customer service
Responsibilities
Develop, implement, and deploy machine learning and deep learning models to solve complex business problems within the sector, focusing on areas such as demand forecasting, customer segmentation, and supply chain optimization.
Design and build scalable data pipelines and infrastructure to support AI model training, evaluation, and deployment, leveraging cloud computing platforms (e.g., AWS, Azure, GCP).
Conduct in-depth data analysis and feature engineering to extract valuable insights and improve the performance of AI algorithms, utilizing strong data science principles.
Research and apply state-of-the-art techniques in Natural Language Processing (NLP) and Computer Vision to enhance product understanding, customer feedback analysis, and visual inspection processes.
Collaborate closely with cross-functional teams, including product managers, engineers, and business stakeholders, to define AI project requirements, timelines, and deliverables, ensuring clear communication throughout the project lifecycle.
Translate business requirements into technical specifications and AI solutions, effectively communicating technical concepts to both technical and non-technical audiences.
Continuously monitor, evaluate, and iterate on deployed AI models to ensure optimal performance, accuracy, and relevance, adapting to changing business needs and data patterns.
Stay abreast of the latest advancements in AI, machine learning, and related fields, identifying opportunities to integrate new technologies and methodologies into the company's AI strategy.
Utilize strong problem-solving skills to troubleshoot and resolve issues related to data quality, model performance, and system integration.
Leverage Mandarin proficiency to facilitate communication and collaboration with stakeholders or teams who may primarily communicate in Mandarin, ensuring seamless project execution.
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