Cloud Specialist (AI & Machine Learning) – Malaysia

  • Home
  • Cloud Specialist (AI & Machine Learning) – Malaysia

Cloud Solutions

Cloud Specialist (AI & Machine Learning) - Malaysia

  • Cloud Computing
  • Malaysia
Apply Now

Share on:

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.

Job Descriptions:

For All Seniority Levels:

  • Engage with clients to understand their business challenges, objectives, and existing data infrastructure. 
  • Advise on best practices for AI/ML adoption, data preparation, model development, and deployment on Google Cloud. 
  • Design and implement scalable and robust AI/ML solutions, with a particular emphasis on Generative AI applications, including agentic solutions, advanced data analysis, and conversational AI. 
  • Provide technical guidance and support to clients throughout the AI/ML project lifecycle. 
  • Responsible for the end-to-end AI/ML solution lifecycle, from data ingestion and preparation to model training, deployment, monitoring, and optimization, ensuring seamless integration with existing client infrastructure and delivering measurable business value. 
  • Stay up-to-date with the latest Google Cloud AI/ML features, updates, and emerging trends in Generative AI.
  • Collaborate with our sales, technical, and project management teams to ensure client satisfaction.

For Mid-Seniority Candidates (in addition to above):

  • Lead discovery workshops and architectural design sessions for complex AI/ML projects. 
  • Develop comprehensive implementation strategies and project plans for AI/ML initiatives. 
  • Design, develop, and deploy custom AI/ML models and pipelines using Google Cloud AI services (e.g., Vertex AI, BigQuery ML, AutoML). 
  • Specialize in integrating and optimizing Generative AI models (e.g., Gemini, Imagen) for various client use cases, including fine-tuning and prompt engineering. 
  • Provide advanced technical troubleshooting and solution optimization for AI/ML workloads. 
  • Mentor junior specialists and contribute to internal knowledge sharing and best practices for AI/ML and Generative AI. 
  • Act as a trusted advisor to clients, guiding them on long-term AI/ML and digital transformation roadmaps.

For Junior Candidates:

  • Assist senior specialists in data preparation, model training, and deployment tasks for AI/ML projects. 
  • Learn and apply best practices for Google Cloud AI/ML implementation. 
  • Support documentation efforts for AI/ML solutions. 
  • Develop foundational knowledge in Google Cloud AI services and explore use cases for Generative AI. 
  • Actively participate in client engagements, gaining hands-on experience in AI/ML solution delivery.

Requirements:

Required: 

  • For Junior Position: 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. 
  • For Mid-Seniority Position: 3+ years of experience in a technical consulting, implementation, or development role focused on AI/ML, data science, or cloud solutions. 
  • Strong analytical and problem-solving skills with a client-centric approach. 
  • Excellent communication, presentation, and interpersonal skills. 
  • Ability to work independently and as part of a collaborative team. 
Preferred (Any combination of the following is highly valued): 

  • Google Cloud AI/ML Expertise: 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. 
  • Generative AI Focus: 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. 
  • Programming Skills: Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
  • Data Engineering Skills: Experience with data processing and warehousing tools on Google Cloud (e.g., BigQuery, Dataflow, Dataproc). 
  • Cloud Certifications: Google Cloud certifications (e.g., Professional Machine Learning Engineer, Professional Data Engineer, Associate Cloud Engineer) are a significant plus. 
  • Domain Knowledge: Experience in specific industry domains where AI/ML is applied (e.g., finance, healthcare, retail).

Nice to Have:

  • Experience with other cloud platforms (AWS, Azure) and their AI/ML offerings. 
  • Project management experience or certifications. 
  • Experience in a client-facing consulting role.

Apply for this position

Allowed Type(s): .pdf, .doc, .docx
no ref