Ai engineer állások, munkák egyetemi végzettséggel

• Design, implement, and manage Hybrid AWS infrastructure using Terraform across multiple accounts and regions.
• Take part in crucial software architecture decisions.
• Maintain secure and scalable hybrid setups between Edge, Cloud and On-Prem.
• Maintain critical infrastructure in the AWS Cloud.

Develop and drive the implementation of Cloud Data Security strategy in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

Design and implement the frontend from UI mockups to Figma designs, evaluating feasibility, complexity, and implementation impact for optimal user experience. Own and deliver well-defined frontend stories independently, with a strong understanding of architecture, frameworks, and tools. Drive code...

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

Develop tools that enable large-scale forecasting and modelling of market sizes, market shares, and other key indicators across Statista's market insights coverage....

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

Architect and deliver secure, high-performance microservices primarily on AWS using infrastructure-as-code tools such as Terraform and AWS CDK Deliver end-to-end software solutions in Python and Node.js, including development, deployment, monitoring, and production support Set technical direction...

implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux....

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency