Senior Generative AI Engineer (m/w/d) - Schweiz
Alexander Thamm GmbH
- Employment type
- Full-time
- Location
- Zürich
- First posted
We are looking for you immediately for a workload of 100% at our location in Switzerland!
Are data and AI your home? Furthermore, your new challenge is designed as follows:
Technical responsibility for the conception, development, and continuous further development of demonstrators and technical solution approaches in the context of Generative AI, Data Science, and Cloud technologies
Consulting and supporting our customers in defining and implementing sustainable data, AI, and Generative AI solutions - from architecture to technical steering to productive implementation
Development and optimization of modern data architectures and data warehouses based on current cloud technologies (e.g. Azure, AWS)
Quality assurance in projects - especially in the areas of Prompt Engineering, Data Science, and model validation
Leadership or technical participation in projects with a focus on architecture planning, implementation of AI workflows, and operation of local and cloud-based Foundation Models
Conception and implementation of internal training sessions as well as active knowledge sharing within the team to strengthen technical competence in the area of Generative AI and data platforms
Continuous research and experimentation with new tools, APIs (e.g. OpenAI, HuggingFace, Aleph Alpha) and technologies in the field of Conversational AI, NLP, Stable Diffusion, Transformer models, etc.
Active participation in conferences and community events as well as presentation of technical innovations through lectures, publications, or showcases
Support of sales and marketing through technical pitches, architecture sketches, and arguments in the context of customer acquisition
Active co-design in the expansion of our Swiss team and collaboration with management and sales in the further development of our location
Is data also in your DNA? You should bring the following:
Successfully completed degree in Computer Science, Data Science, Mathematics, or a comparable scientific-technical degree program
At least 3 years of professional experience in the implementation of data platforms, data warehousing, or AI solutions - ideally in customer projects or in a consulting environment
Strong communication skills in German, Swiss German, and English
Practical experience with Generative AI technologies and frameworks as well as in-depth knowledge of the application of Foundation Models (e.g. GPT, LLaMA, Claude) and their fine-tuning
Very good knowledge of Python (object-oriented), ideally also with Spark, as well as secure handling of Open Source libraries (e.g. HuggingFace Transformers, LangChain)
Experience with APIs like OpenAI, Aleph Alpha, HuggingFace as well as basics in text processing models, probabilistic modeling, NLP, Conversational AI, and Stable Diffusion
In-depth knowledge of modern cloud technologies, especially Azure or AWS, as well as infrastructure and deployment processes (e.g. CI/CD, Container, MLOps)
Ideally experience in operating local open-source models, on hardware accelerators, or with Physical Computing
Strong communication skills and pleasure in exchanging with customers, colleagues, and community
Proactive, solution-oriented work approach as well as willingness to take responsibility and occasionally travel in the context of a consulting activity
Data moves us! What you can expect on your personal journey, you can find here:
Work-Life-Balance
Trust-based working hours with flexible working time arrangement, hybrid working model, workation - use the opportunity to work from the EU foreign country
Culture & Collaboration
Unique team atmosphere, flat hierarchies to our CEO Alex, as well as an open feedback culture, annual team workshops on our Data.Castle in the Zillertal, lived Data.Musketeer principle - "one for all, all for one!", our [at] Buddy program for better networking, regularly held specialist and leisure events
Technical & Personal Development
Intensive onboarding and training process, personal development plan, and individual further training opportunities, diverse workshop and training offer within the Data.Academy by our experienced Data.Musketeers as well as external providers, leadership, project leader, and expert career path
Remuneration & Additional Benefits
Numerous corporate benefits and employee offers (e.g. for events and travel), starting credit in our internal merchandise shop, competitive salary with variable components
Health & Wellbeing
Mental Health & Wellbeing Support as well as coaching and meditation through nilo.health, regular employee surveys
Janine Sauer, Senior HR Managerin
Automatically translated from the original.
Posted yesterday