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AI Cloud Engineer
Mexico City
Early on, we recognized that machines have unparalleled capabilities in executing tasks that humans simply cannot. This fueled our journey to change the technology landscape and usher in a new era of productivity through Autonomous Artificial Intelligence. Because of this, Algotive was born.

This visionary understanding hasn't just given rise to Algotive; it serves as the company's north star, guiding each innovation, strategy, and solution we introduce to the world.

Our mission is clear and powerful: We believe that AI's full potential is reached when machines become colleagues, not tools. Every day we strive to make this vision a global reality.

Role Overview
We are seeking a skilled and innovative AI Cloud Engineer to join our dynamic team. As an AI Cloud Engineer, you will play a key role in designing, implementing, and maintaining the infrastructure necessary for deploying artificial intelligence and machine learning solutions on cloud platforms. Your expertise will contribute to the development of cutting-edge AI applications that drive our organization's success.

Key Responsibilities

    • AI Solution Architecture: Design, implement, and optimize cloud-based architectures for AI and ML applications. Collaborate with data scientists and software engineers to integrate AI models into scalable, production-ready systems.
    • Cloud Platform Management: Utilize cloud services such as AWS, Azure, or Google Cloud to build and manage AI infrastructure. Implement and maintain scalable, reliable, and secure cloud environments for AI workloads.
    • Containerization and Orchestration: Deploy AI models using containerization technologies such as Docker and orchestration tools like Kubernetes.
    • Data Processing and Integration: Develop data pipelines for efficient processing and integration of large datasets for AI training and inference.
    • Automation and DevOps: Implement automation scripts for deployment, monitoring, and scaling of AI applications. Collaborate with the DevOps team to integrate AI workflows into the continuous integration/continuous deployment (CI/CD) pipeline.
    • Security and Compliance: Ensure compliance with data privacy regulations and implement security best practices in AI infrastructure.
    • Performance Optimization: Identify and address bottlenecks in AI applications, optimizing performance and resource utilization.
    • Documentation: Create and maintain documentation for AI infrastructure, configurations, and deployment processes.

Qualifications

    • Bachelor's or higher degree in Computer Science, Engineering, or a related field.
    • 5+ years of proven experience as a Cloud Engineer, DevOps Engineer, or similar role.
    • Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
    • Experience with containerization tools (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).
    • Proficiency in scripting and automation (e.g., Python, Bash).
    • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and model deployment techniques.
    • Understanding of data processing and integration technologies.
    • Knowledge of security best practices in cloud environments.
    • Excellent problem-solving and communication skills.
    • Bi-lingual in English and Spanish.
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Full-time
Mid Level