AI Cloud Engineer

Overview

AI Cloud Engineer experienced in cloud platforms, primarily Google Cloud Platform (GCP) and Amazon Web Services (AWS), with a solid foundation in Terraform and infrastructure automation. You will play an essential role in deploying, managing, and optimizing cloud environments tailored for AI-driven solutions. In this position, you''ll collaborate closely with backend engineers, data scientists, DevOps specialists, and stakeholders to create reliable, scalable, and efficient AI infrastructure.

• Cloud Infrastructure & Automation
  • Design, deploy, and maintain scalable cloud infrastructure for AI workloads on the Cloud and On-Prem Infrastructure.
  • Leverage Infrastructure as Code (e.g. Terraform, Helm) to ensure efficient, repeatable, and reliable deployments.
  • Continuously optimize cloud resource usage and costs while ensuring infrastructure scalability and reliability.
• AI Integration & Model Deployment
  • Work closely with AI teams to build and manage cloud-based environments for AI model training, validation, and deployment.
  • Develop and maintain CI/CD pipelines tailored for AI applications, ensuring smooth and automated deployment of models and services.
  • Ensure high availability and scalability for AI inference endpoints.
• Performance Monitoring & Optimization
  • Implement robust monitoring and alerting solutions (CloudWatch, Stackdriver, Prometheus, Grafana) for AI workloads and cloud infrastructure.
  • Proactively identify and address performance bottlenecks, optimizing resources to reduce latency and improve system efficiency.
  • Regularly review performance metrics and recommend improvements for operational excellence.
• Security & Compliance
  • Implement and manage cloud security best practices, including IAM, encryption, vulnerability scanning, and network security.
  • Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA) specific to AI and data management.
  • Collaborate with security teams to conduct regular assessments and integrate security controls into deployment pipelines.
• Collaboration & Communication
  • Partner with cross-functional teams including backend engineers, data scientists, and DevOps teams to ensure cohesive AI platform management.
  • Communicate effectively across teams to translate complex infrastructure requirements into actionable plans and solutions.
  • Actively participate in agile methodologies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related field.
• Experience: Minimum of 3-5 years of hands-on experience in AI/ML, with a focus on developing models and solutions for productivity, customer experience, and/or telecom networks.

• Problem-solving and Analytical Thinking: Ability to tackle complex problems and create innovative solutions using AI techniques.
• Collaboration and Teamwork: Experience working in cross-functional teams, collaborating with stakeholders from different areas (e.g., product, engineering, and operations).
• Communication Skills: Ability to explain technical concepts to non-technical audiences and create clear documentation of AI models and solutions.
• Adaptability and Continuous Learning: Willingness to keep up with the latest AI research and quickly adapt to new tools, models, and methodologies.

• AI/ML Expertise: Proficiency in machine learning algorithms, neural networks, natural language processing, and computer vision. Experience with GenAI models is a plus.
• Programming Languages: Expertise in Python, R, and frameworks like TensorFlow, PyTorch, or Keras.
• Data Engineering and Analytics: Experience with data processing, feature engineering, and working with large datasets in cloud environments (e.g., AWS, GCP).
• AI System Integration: Familiarity with integrating AI models into production systems, including API development and system architecture.
• Telecom Network Knowledge: Understanding of telecom network technologies and how AI can be applied to optimize networks, particularly for predictive maintenance and traffic management.
• AI/ML Certifications/Licenses is not mandatory, but is a plus

Globe’s hiring process promotes equal opportunity to applicants. Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here.

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.

• Mid-Senior level

• Full-time

• Engineering and Information Technology
• Industries
• Telecommunications

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