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# Senior AI Engineer

- **Company:** Sphere
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Continuous Integration, Software Design Patterns, Python (Programming Language), Machine Learning, Tensorflow, Software Systems, Enterprise Data Management, Google Cloud, Pytorch, Generative AI, Information Technology, Low Latency, Machine Learning Operations, Api Design, Microservices
- **Published:** October 28, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a74246001e982772

## About the Role

* Master's in Computer Science, Data Science, Machine Learning, or a related field with experience in designing enterprise-scale AI solutions.
 * Deep architectural expertise across multiple AI domains-specifically within Generative AI, Computer Vision, and complex predictive modeling.
 * Advanced proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), with a strong command of software design patterns, microservices architecture, and API design.
 * Expertise in designing robust MLOps ecosystems, including defining standards for CI/CD, model governance, security compliance, and infrastructure orchestration on cloud platforms (AWS, GCP, Azure).
 * Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams, conducting code/design reviews, and enforcing engineering excellence.
 * Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership.

## Description

* Develop scalable AI-driven software solutions and design end-to-end systems that integrate seamlessly with enterprise data and cloud infrastructure.
 * Establish MLOps standards and reusable pipelines, ensuring clean, maintainable code for model training, deployment, and monitoring.
 * Translate complex business requirements into technical blueprints, bridging the gap between data science exploration and production engineering.
 * Advise stakeholders on technical strategy, clearly communicating architectural tradeoffs regarding cost, latency, and performance.