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About us
Cloud Ace is a leading technology company headquartered in Tokyo, Japan, with over 600+ employees and global offices in Singapore, Indonesia, Thailand, Vietnam, Taiwan, China and India. Our capabilities include strong in-house expertise of over 00+ Google Cloud Certifications and 12 Google Cloud Specializations, along with a portfolio of partner companies to provide artificial intelligence, machine learning, and IoT solutions.
With over ten years of experience with Google Cloud, we have been recognized as Google Premier Partners since 2017, and have earned multiple awards including “Google Cloud Specialization Partner of the Year - IoT” in 2020, “Google Cloud Partner of the Year” in 2021, and “Google Cloud Sales Partner of the Year” for APAC and SEA in 2023 and 2024 respectively.
We are looking for driven individuals who thrive in fast-paced, collaborative settings and are passionate about innovation to support the growth of Cloud Ace Singapore. Join us in revolutionising the way businesses leverage the power of the cloud.
Job Description
As an AI Engineer, you will be responsible for the end-to-end development and deployment of machine learning and artificial intelligence solutions on the Google Cloud Platform (GCP). Working closely with clients and our project teams, you will design, build, and maintain robust and scalable AI systems that solve complex business challenges. This role requires a strong background in machine learning, software engineering, and a deep understanding of Google Cloud's AI/ML ecosystem.
Job type
12 months contract (role must be based in Singapore)
Requirements:
- Bachelor’s degree in Information Technology, Computer Science, or a related field
- Understanding ML lifecycle concepts
- Strong proficiency in SQL and Python, and experience with machine learning frameworks such as TensorFlow, OpenCV, or Scikit-learn
- Experience in building AI solutions on GCP is preferred
- Excellent problem-solving skills and the ability to work independently and as part of a team
- 2 - 5 years of relevant experience
Key Responsibilities:
- Develop AI applications in Google Cloud Platform environment
- Collaborate with clients and data/infrastructure engineers to translate business problems into technical AI/ML solutions
- Build end-to-end a Machine Learning applications
- Integrate AI models into existing client applications and workflows.
- Keep up-to-date technical knowledge in Cloud service, Big Data and Machine Learning related field
Key Skills
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