Germany
ALTEN
Sopra Steria
AI Platform Engineer (m/f/d)
Germany
Hanover, Lower Saxony, Germany
PythonAWSDockerKubernetesTerraform
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Company Description
As one of Europe's leading management and technology consultancies, we are a true tech player. We see ourselves as thought leaders, act and think strategically, develop tailor-made solutions and precise processes with our clients, and implement innovative technologies. Worldwide, we are over 50.000 tech-savvy and bright minds – together we are shaping the future of our clients and society.
Are you ready to help shape digital Europe?
- Our Mindset: Team spirit, open doors, a culture of addressing each other by first name, lived diversity
Diversity is an important foundation of our corporate culture. We aim to create an inclusive environment that considers the diversity of all our 2.700 employees in Germany and Austria and in which you can thrive. Because we at Sopra Steria are convinced that your individuality is the key to sustainable corporate success.
We are committed to a sustainable future: Whether through group-wide scholarship and corporate volunteering programs or through projects promoting education, equal opportunities, and digital inclusion – we take responsibility for society. We firmly believe that digital innovations are key to equality, inclusion, and climate protection.
Job Description
- Conception and implementation of end-to-end GenAI and ML infrastructures that cover the complete lifecycle of AI use cases – from data preparation, training and fine-tuning of models (e.g., LLMs) to trigger systems for continuous re-training, deployment of models as services, and monitoring
- Planning, building, and administering operating platforms (on-premise or cloud) for GenAI and ML applications, based on modern technologies such as Kubernetes or modern container orchestration approaches – as well as analyzing and optimizing existing customer platforms
- Provision and deployment of local LLMs and Generative AI models on the platform, including integration of tools and APIs for GenAI workflows and applications
- Supporting Data Scientists, Data Engineers, and Machine Learning Engineers in creating interfaces, data preparation, and workflows
- Collaborative consulting with our clients in all project phases: from requirements definition and conception to implementation and successful go-live
- Responsibility for quality and project success, as well as active contribution to the further development of our consulting portfolio, especially in the area of GenAI and LLM infrastructures
- Consulting means flexibility: Your project assignments depend on our clients and your project situation – you will work throughout Germany in our offices, at the client's site, and from home
Qualifications
- Completed degree in (Business) Informatics, (Business) Mathematics, (Business) Engineering, or a comparable field of study, ideally with a focus on Machine Learning, Artificial Intelligence, or cloud technologies
- Very good knowledge and several years of professional experience in container-based architectures (e.g., Docker) as well as platforms like Kubernetes or Openshift, especially in the context of infrastructure for GenAI and ML
- In-depth knowledge and experience with relevant tools and frameworks for the ML and GenAI lifecycle, such as Hugging Face, NVIDIA AI Enterprise, vLLM, and LangChain, as well as techniques for training, fine-tuning (e.g., LoRA, Prompt-Tuning), and deployment of models
- Knowledge and experience with cloud solutions such as AWS, Azure, Google Cloud, or IBM Cloud, particularly in the area of providing ML and GenAI applications
- Comprehensive experience with automation and development tools, including Python, scripting tools (e.g., Ansible, Terraform), software development tools (e.g., Git, Gitlab, Jenkins), and operating systems based on Linux
- Audience-appropriate communication of complex technical issues and experience in large IT landscapes and organizations, ideally in the public sector
- Very good German language skills (from C1 level) as well as English language skills complete your profile
Additional Information
- Training: extensive technical and methodological training including certifications, as well as diverse development opportunities within the company
- Work-Life Balance: hybrid work within Germany and for a limited period in defined EU countries, family services, corporate fitness, and the option for a sabbatical
- Flexible Vacation Policy: 30 days of vacation and the option to individually increase or decrease annual vacation by up to 5 days
- SpenditCard: In addition to your salary, you will receive 50 Euros in tax-free credit monthly, which you can flexibly use for shops near you
- IT Equipment: We support you with the provision of necessary additional equipment for optimal location-flexible working
- Mobility: Company car and company bike via salary conversion, as well as a subsidy for the Deutschlandticket
Imprint
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