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(Senior) Data Science & AI Engineer (m/w/d) 80-100%

Company Description

Datahouse combines the two core competencies of data science and software into a single service, bringing together a team of experts in data analysis, statistics, programming, databases, and project management.

Datahouse is a fully owned subsidiary of the Wüest Partner Group.

Job Description

Team and Mission

Join us in our newly created role as a Data Science & AI Engineer and shape the future of AI in our company! In this role, you will tackle exciting challenges, develop cutting-edge AI solutions and drive innovation from day one. Using machine learning and advanced intelligence systems, you will play a key role in integrating AI into our systems, optimizing processes and unlocking new opportunities.

Your Responsibilities

  • Develop and optimize AI/ML applications for various projects
  • Implement and enhance Large Language Model (LLM) and Retrieval-Augmented Generation (RAG)applications using LangChain
  • Develop and train computer vision models using PyTorch
  • Design and implement software solutions following best practices in Python
  • Set up and manage containers with Docker and Docker Compose
  • Maintain code versioning with Git and ensure seamless deployment processes using CI/CD pipelines
  • Collaborate with interdisciplinary teams to integrate AI/LLM solutions into existing systems

Qualifications

Your Profile

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI or a related field
  • Strong expertise in Data Science & Software Engineering, with proven experience in project implementation
  • Hands-on experience working in UNIX/Linux (Ubuntu) environments
  • Proficiency in LLM/RAG frameworks (e.g., LangChain) and their real-world applications
  • Deep knowledge of Computer Vision with PyTorch and experience with containerization technologies (Docker, Docker Compose)
  • Solid understanding of Git for version control and CI/CD pipelines (Drone)
  • Self-motivated, team-oriented, and analytical, with a strong problem-solving mindset
  • Fluency in English; proficiency in German is a plus

Additional Information

Our Offer

  • Attractive employment conditions, including a variable compensation component

  • Flexible Work Smart concept with the option to work from home

  • Refreshing, professional and collegial company culture with great events (company celebrations, coffee breaks with croissants, etc.)

  • Strong team spirit, flat hierarchies and diverse tasks

  • Beautiful workplace in the heart of Zurich with modern infrastructure

  • A generous training budget, including dedicated time for professional development, as well as other attractive fringe benefits

Contact

If you have any questions, Federica Arcella, Talent Acquisition, is happy to assist you at [email protected].

For recruitment agencies: Only direct applications will be considered.

For data protection reasons, applications can only be submitted online.

Simply click "Apply now," fill out the form, attach your documents and your application is on its way!

We look forward to hearing from you!

Datahouse AG

Average salary estimate

$90000 / YEARLY (est.)
min
max
$80000K
$100000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About (Senior) Data Science & AI Engineer (m/w/d) 80-100%, Wüest Partner

At Datahouse AG, we’re on the lookout for a dynamic (Senior) Data Science & AI Engineer to join our talented team based in stunning Zurich. This isn’t just a job; it’s an opportunity to shape the future of AI within our organization! As a key player in our newly established role, you’ll face exciting challenges where you will develop pioneering AI solutions and drive innovation right from the start. Your day-to-day will involve building and optimizing AI/ML applications that contribute to various projects, ensuring that we stay ahead of the curve. You’ll have the opportunity to work with advanced technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) applications using LangChain, and take on the exciting task of creating and training computer vision models using PyTorch. You will design and implement software solutions using best practices in Python and manage containers with Docker to streamline our processes. Here at Datahouse, we pride ourselves on collaboration, so you’ll work alongside interdisciplinary teams to seamlessly integrate AI/LLM solutions into our existing systems, helping us unlock new avenues for success. We offer not just a job, but a vibrant culture, flexible working conditions, and a commitment to your professional growth. Come join us at Datahouse AG, where your skills will help us redefine what’s possible in the world of data science and AI!

Frequently Asked Questions (FAQs) for (Senior) Data Science & AI Engineer (m/w/d) 80-100% Role at Wüest Partner
What are the key responsibilities of a (Senior) Data Science & AI Engineer at Datahouse AG?

As a (Senior) Data Science & AI Engineer at Datahouse AG, your primary responsibilities include developing and optimizing AI/ML applications for various projects, implementing LLM and RAG applications using LangChain, and training computer vision models with PyTorch. Additionally, you will design software solutions in Python, manage containers with Docker, and work collaboratively with interdisciplinary teams to integrate AI solutions into existing systems.

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What qualifications do I need to apply for the (Senior) Data Science & AI Engineer position at Datahouse AG?

To qualify for the (Senior) Data Science & AI Engineer role at Datahouse AG, you need a Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field. A strong background in Data Science and Software Engineering is essential, along with hands-on experience in UNIX/Linux environments, knowledge of LLM/RAG frameworks, and expertise in computer vision with PyTorch.

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Is experience in containerization important for a (Senior) Data Science & AI Engineer at Datahouse AG?

Yes, experience with containerization technologies such as Docker and Docker Compose is crucial for the (Senior) Data Science & AI Engineer position at Datahouse AG. You'll be responsible for managing containers to streamline software deployment and ensure efficient project workflows.

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What is the work culture like at Datahouse AG for a (Senior) Data Science & AI Engineer?

At Datahouse AG, the work culture is characterized by strong team spirit, flat hierarchies, and a collegial atmosphere. We foster collaboration and ensure you have a work-life balance with our flexible Work Smart concept, which allows for remote work. Additionally, we hold regular company events that strengthen relationships among team members.

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What growth opportunities does Datahouse AG offer for a (Senior) Data Science & AI Engineer?

Datahouse AG is committed to the professional development of its employees. As a (Senior) Data Science & AI Engineer, you will have access to a generous training budget and dedicated time for professional growth, ensuring that you stay at the forefront of your field and continue to enhance your skills.

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Common Interview Questions for (Senior) Data Science & AI Engineer (m/w/d) 80-100%
Can you describe your experience with machine learning applications?

When answering this question, provide specific examples of the machine learning projects you've worked on. Highlight the technologies used, the challenges faced, and the outcomes achieved. This will help demonstrate your hands-on experience relevant to the (Senior) Data Science & AI Engineer role at Datahouse AG.

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How do you ensure the quality of your code in AI development?

Discuss your approach to best coding practices, including code reviews, unit testing, and using version control systems like Git. Emphasize the importance of maintaining high standards in your work to foster collaboration and ensure seamless deployment processes as a (Senior) Data Science & AI Engineer.

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What tools do you use for managing containers?

Be prepared to discuss your experience with Docker and Docker Compose. Explain how you have used these tools in past projects to manage containerization and streamline deployment processes, which is a key responsibility for a (Senior) Data Science & AI Engineer at Datahouse AG.

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Can you explain your experience with LLM and RAG applications?

In your response, detail your familiarity with LLM and RAG frameworks, such as LangChain. Provide examples of projects where you implemented these technologies and discuss the impact they had on the overall project goals.

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What strategies do you use for training computer vision models?

Share your experience in developing computer vision models using PyTorch. Highlight methodologies you’ve applied for data collection, model training, and performance evaluation, demonstrating your technical expertise relevant to the position at Datahouse AG.

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How do you approach collaboration with interdisciplinary teams?

Discuss your experiences working with diverse teams, emphasizing your communication and teamwork skills. Share specific examples of projects where collaboration led to innovative solutions, showcasing your readiness for the collaborative culture at Datahouse AG.

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Describe a challenging project you worked on and how you overcame obstacles.

Pick a project where you faced significant challenges and explain the issues encountered, how you approached problem-solving, and the successful outcome. This showcases your analytical and problem-solving mindset vital for a (Senior) Data Science & AI Engineer.

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What is your experience with UNIX/Linux environments?

Provide details about your proficiency in UNIX/Linux, focusing on tools or commands you're familiar with that are relevant to a (Senior) Data Science & AI Engineer role. Highlight any project experience that involved working in these environments.

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How do you stay up-to-date with the latest developments in AI and data science?

Share the resources you utilize, such as academic journals, online courses, or professional networks, that keep you informed about emerging technologies and trends in AI and data science, emphasizing your dedication to continuous learning.

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What motivates you to work in data science and AI?

Reflect on your passion for technology and innovation, and share personal anecdotes or experiences that fueled your interest in data science and AI. This connects your motivation back to the impactful work being done at Datahouse AG.

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Wüest & Partner is an international consultancy firm for real estate. It focuses on the property and construction sectors, urban development and locational trends. Since its foundation in 1985, Wüest & Partner has stood for quality, innovation a...

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Full-time, hybrid
DATE POSTED
March 27, 2025

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