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.
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.
- 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.
- 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.