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Cloud Specialist (AI / ML)

Cloud Specialist (AI / ML)

PointStarKuala Lumpur, Kuala Lumpur, Malaysia
2 days ago
Job description

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 :

  • 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.
  • Qualifications

    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.
  • #J-18808-Ljbffr

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