Overview :
We are seeking a dynamic and highly motivated Cloud Specialist with a strong focus on Artificial Intelligence (AI) and Machine Learning (ML) to join our growing team. This role is open to both Junior and Mid-Seniority candidates, offering an exciting opportunity to work with cutting-edge AI technologies, particularly in the realm of
Generative AI,
and directly impact our clients' success.
As a Cloud Specialist for AI / ML, you will play a pivotal role in guiding clients through their AI / ML journey on Google Cloud, from initial strategy and design to successful implementation and adoption of AI-powered solutions. You will be instrumental in demonstrating how Google Cloud's AI capabilities, including powerful tools for Generative AI, can revolutionize their operations, enhance decision-making, and unlock new business opportunities.
Responsibilities
For All Seniority Levels :
Generative AI applications
, including agentic solutions, advanced data analysis, and conversational AI.
For Mid-Seniority Candidates (in addition to above) :
Generative AI models
(e.g., Gemini, Imagen) for various client use cases, including fine-tuning and prompt engineering.
For Junior Candidates :
Generative AI.
Qualifications
Required :
A Bachelor's degree in Computer Science, Information Technology, Data Science, or a related quantitative field, OR equivalent practical experience. Fresh graduates with a strong demonstrable interest and aptitude for AI / ML, cloud technologies, and
Generative AI
are encouraged to apply.
3+ years of experience in a technical consulting, implementation, or development role focused on AI / ML, data science, or cloud solutions.
Preferred (Any combination of the following is highly valued) :
Hands-on experience with leveraging Google Cloud Platform like Vertex AI, BigQuery ML, and AutoML to design, develop, and deploy end-to-end AI / ML solutions.
Demonstrated understanding and practical experience with Generative AI models (e.g., large language models like Gemini, image generation models like Imagen), including prompt engineering, fine-tuning and deployment.
Proficiency in Python and relevant AI / ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with data processing and warehousing tools on Google Cloud (e.g., BigQuery, Dataflow, Dataproc).
Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Data Engineer, Associate Cloud Engineer) are a significant plus.
Experience in specific industry domains where AI / ML is applied (e.g., finance, healthcare, retail).
Nice to Have :
Cloud Specialist • Novotel Kuala Lumpur City Centre, Kuala Lumpur, Malaysia