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Company Overview
A leading global cloud computing company providing a wide array of on-demand services, including computing power, storage, databases, networking, machine learning, artificial intelligence, and more. They empower businesses of all sizes to innovate, scale, and transform their operations with a comprehensive and secure cloud platform.
Job Description
Senior AIML Specialist STAM, ASEAN ES
A prominent cloud computing organization is seeking a highly experienced and skilled Senior AIML Specialist to join their Solutions Architect team within the ASEAN Emerging Scale (ES) region. This role will focus on guiding and enabling customers in their adoption and implementation of Artificial Intelligence and Machine Learning solutions on their cloud platform. The ideal candidate will possess deep technical expertise in AI/ML, a strong understanding of cloud services, and excellent communication skills to effectively engage with both technical and business stakeholders.
BASIC QUALIFICATIONS
Experience in internal enterprise or external customer-facing environment as a technical lead.
Experience with cloud services or other cloud offerings.
Extensive experience in the field of AI, Machine Learning, Deep Learning, and related technologies.
Extensive experience developing AI models in real-world environments and integrating AI/ML services into large-scale production applications.
Professional experience in software development in languages like Java, Python, Scala. Experience working with RESTful API and general service-oriented architectures.
Professional oral and written communication skills, presenting to an audience containing one or more decision-makers.
PREFERRED QUALIFICATIONS
Internal enterprise experience working with a wide range of internal stakeholders on AIML implementations or migration with company-wide impact.
Experience with predictive analytics, semi and unstructured data.
Experience with their AIML services.
Ability to understand complex cloud AIML environments and bridge the gap between technical and business requirements.
Track record of implementing production AIML solutions for enterprise companies or large internet-scale start-ups.
Data science background and experience manipulating/transforming data, model selection, model training, cross-validation, and deployment at scale.
Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and Torch.
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