Cloud Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Specialist with a contract length of "unknown," offering a pay rate of "unknown" and remote work location. Requires 5+ years in cloud consulting, Google Cloud Professional Certification, and expertise in AI/ML on Google Cloud platforms.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 17, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Kubernetes #Consulting #GCP (Google Cloud Platform) #TensorFlow #AWS (Amazon Web Services) #Data Science #Consul #Data Engineering #ML (Machine Learning) #Computer Science #Compliance #Cloud #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #PyTorch #Scala #Azure #BigQuery #Migration #Project Management #Agile
Role description

About the Role

Join Chesamel Group as a Cloud Product Specialist (Consultant) and drive transformative AI-powered cloud solutions for our global clients. In this dynamic role, you’ll act as a strategic advisor, leveraging your expertise in Google Cloud’s cutting-edge AI/ML technologies to empower businesses. You’ll collaborate with cross-functional teams, including marketing and account management, to craft compelling, client-centric cloud strategies that accelerate digital transformation. If you’re passionate about AI innovation and thrive in a collaborative, client-facing environment, this is your opportunity to make an impact.

Key Responsibilities

Conduct in-depth assessments of clients’ cloud infrastructure and AI maturity to identify opportunities for optimization.

Design and deliver tailored cloud migration and AI implementation strategies aligned with client business goals.

Provide expert consultation on Google Cloud AI/ML tools, including Vertex AI, BigQuery ML, Document AI, and Natural Language AI.

Facilitate discovery workshops to uncover client needs and propose innovative cloud-based AI solutions.

Architect secure, scalable, and cost-efficient cloud and AI solutions to meet diverse client requirements.

Collaborate with marketing and account management teams to develop client-specific value propositions and impactful messaging.

Translate complex technical concepts into clear, business-oriented narratives for non-technical stakeholders.

Deliver engaging proof-of-concept implementations and technical demos to showcase solution value.

Mentor and train marketing and account management teams on Google Cloud and AI capabilities to enhance client engagements.

Advise clients on industry best practices, emerging AI trends, and regulatory compliance in cloud environments.

Empower client teams through knowledge transfer and hands-on capability building.

Qualifications

5+ years of experience in cloud consulting, professional services, or technical advisory roles.

Required: Google Cloud Professional Certification (e.g., Professional Machine Learning Engineer, Professional Data Engineer, or Professional Cloud Architect).

Proven expertise in implementing and optimizing AI/ML models on Google Cloud platforms.

Strong ability to communicate complex cloud and AI concepts to non-technical audiences, including marketing and sales teams.

Experience collaborating with cross-functional teams to drive client success.

Track record of leading complex digital transformation or cloud migration projects.

Deep knowledge of cloud architecture, infrastructure, and services, with a focus on Google Cloud.

Exceptional presentation, communication, and stakeholder management skills.

Bachelor’s degree in Computer Science, Information Technology, Data Science, or equivalent professional experience.

Preferred Skills

Additional Google Cloud certifications

Familiarity with AWS or Azure certifications (e.g., AWS Solutions Architect or Azure AI Engineer) is a plus.

Hands-on experience with Google Cloud AI tools, such as Vision AI, Speech-to-Text, or AutoML.

Proficiency in ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

Expertise in container orchestration for AI workloads using Google Kubernetes Engine (GKE) or Kubernetes.

Background in software engineering, data science, or AI model development.

Experience designing and delivering training programs for technical and non-technical audiences.

Ability to create compelling, client-facing content for marketing teams to highlight cloud and AI solutions.

Project management experience with methodologies like Agile or PMI.

Industry knowledge in high-growth sectors such as financial services, healthcare, retail, or technology.