Senior AI Engineer (m/w/d/x)
Deutsche Telekom
- Location
- Onsite (Weingarten, BW,DE · Berlin, BE,DE · BN, NRW,DE · Leinfelden-Echterdingen, BW,DE · Munich, BY,DE · +1 more)
- Employment
- Full-time
- Level
- Senior Level
Posted 5 days ago
About the Role
T-Systems International GmbH, a subsidiary of Deutsche Telekom, seeks an AI Engineer to lead the end-to-end development and deployment of scalable AI-driven products. The role focuses on implementing MLOps and data engineering principles to integrate innovative machine learning and generative AI solutions into existing business processes.
Skills
Python
Machine learning
Deep learning
Generative AI
Large language models
PyTorch
TensorFlow
MLOps
Data engineering
Azure
AWS
Agile
Scrum
Cloud computing
Software engineering
Problem-solving
Benefits
- Health benefits
- Retirement benefits
Perks
- Flexible working hours
- Remote work opportunities
Full job details
About T-Systems International GmbH
At T-Systems, we provide our business customers with the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, saves costs and makes everyday work easier. Our key focus areas are connectivity, digital, cloud & infrastructure, and security – Let’s power higher performance!
About the Position
As an AI Engineer, you will actively shape the future of our AI-driven products and services. You will take responsibility for the end-to-end development, deployment and optimisation of modern artificial intelligence solutions.
You will develop robust and scalable models based on machine learning, deep learning, generative AI and large language models. Using your strong programming skills in Python and frameworks such as PyTorch and TensorFlow, you will transform innovative AI solutions into production-ready applications.
Another key focus of your role will be implementing MLOps and data engineering principles. You will create the technical foundations for reliable, scalable and maintainable AI systems while working with modern cloud environments such as Azure or AWS.
Working closely with data scientists, software engineers, product managers, architects and other cross-functional teams, you will drive impactful AI initiatives forward. You will analyse complex challenges, develop suitable solutions and support their implementation in an agile working environment.
You will apply your technical expertise, strong problem-solving skills and excellent communication abilities to successfully develop innovative AI applications and integrate them sustainably into existing business and IT processes.
Must-Have Skills
- Several years of experience developing and implementing artificial intelligence and machine learning solutions
- Strong knowledge of machine learning and modern deep-learning technologies
- Practical experience with generative AI and large language models
- Excellent programming skills in Python
- Confident use of frameworks such as PyTorch and/or TensorFlow
- Experience developing, deploying and optimising production-oriented AI models
- Strong knowledge of MLOps principles and practices
- Experience with cloud computing platforms, particularly Azure and/or AWS
- Knowledge of data engineering, including the development and processing of data pipelines
- Experience developing scalable and reliable AI systems
- Familiarity with agile methods, such as Scrum
- Strong analytical skills and a structured approach to problem-solving
- A high degree of ownership, willingness to learn and strong implementation focus
- Excellent communication skills and experience working with cross-functional teams
Nice-to-Have Skills
- Experience in natural language processing
- Knowledge and practical experience in computer vision
- Experience with big data technologies such as Apache Spark or Hadoop
- Practical experience with MLOps platforms such as Kubeflow or MLflow
- Knowledge of software development standards and best practices, such as clean code, version control and CI/CD
- Experience with container technologies and cloud-based deployment models
- Knowledge of developing and integrating APIs for AI applications
- Experience developing AI solutions for complex business processes
- Experience with responsible, explainable and secure artificial intelligence
What We Offer
- Innovative working environment: Work with modern technologies on pioneering AI projects and actively help shape the digital future.
- Exciting project environment: Develop scalable AI solutions at the intersection of machine learning, software engineering, cloud and data engineering.
- Flexibility: Benefit from flexible working hours and the opportunity to work remotely for an optimal work-life balance.
- Comprehensive development opportunities: We invest in your future through individual professional development, training, conferences and certifications.
- Collaborative team culture: Work in an international, agile and supportive environment with experts from a range of specialist areas.
- Attractive compensation: We offer a competitive salary package and additional benefits.
- State-of-the-art equipment: Use cutting-edge tools, technologies and a modern working environment.
- Health and retirement benefits: Your health and well-being are important to us, supported by various programmes and services.
Does this position sound like the perfect fit for you? Then seize your opportunity and apply online today.
The processing of your application for job vacancies outside Deutsche Telekom AG may also take place outside Deutsche Telekom AG in other European countries. This also applies to the processing of applications for subsidiaries of Deutsche Telekom AG. Therefore, the following information applies to our civil servant employees: You are not required to attach documents relevant to your personnel file to your application, particularly civil service performance assessments. However, you are welcome to provide these documents voluntarily.
Severely disabled applicants will be given preference in the event of equal suitability. We look forward to hearing from you!