Kerja Sepenuh Masa, Senior Cloud Specialist AI-ML di PointStar Federal Territory - Maukerja

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 projec
• ts.Learn and apply best practices for Google Cloud AI/ML implementati
• on.Support documentation efforts for AI/ML solutio
• ns.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 delive

r

y.

Qualifications
Requir

• e
  
• d: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 encour
• aged 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 solut
• ions.Strong analytical and problem-solving skills with a client-centric appr
• oach.Excellent communication, presentation, and interpersonal sk
• ills.Ability to work independently and as part of a collaborative
• team.Preferr
• ed (Any combination of the following is highly val
• ued
• ):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 A
• I/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 deplo
• yment.Programming Skills: Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-l
• earn).Data Engineering Skills: Experience with data processing and warehousing tools on Google Cloud (e.g., BigQuery, Dataflow, Data
• proc).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, re
• tail). Ni</st
• r
• ong>ce to
• Hav
• e:Experience with other cloud platforms (AWS, Azure) and their AI/ML off
• erings.Project management experience or certific
• ations.Experience in a client-facing consultin
• g rol
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