Job Description
Type: Full-time / Freelance β Weβre flexible for the right fit
Start Date: ASAP
Language: English (German or French is a plus)
π§ About Us:Weβre [insert company name β e.g., an innovation-led AI lab / a fast-scaling healthtech company / a future-focused SaaS startup] using cutting-edge technology to solve real-world problems. Now, weβre looking for an AI Engineer to join our team and push the boundaries of whatβs possible.
This role is perfect for someone who thrives on solving hard problems with machine learning, NLP, computer vision, or generative models β and wants to see their work go live and make an impact βοΈπ
π§ͺ What You'll Be Working On:- Design, build, and deploy machine learning models into production environments π¦π§
- Work with structured and unstructured data β including text, images, audio, or time series ποΈπ
- Optimize models for speed, accuracy, and scalability (and occasionally cost!) β‘π
- Collaborate with product, engineering, and data teams to identify opportunities and integrate AI into products π€π
- Research and experiment with the latest developments in AI/ML, including GenAI and LLMs ππ
- Develop proof-of-concepts and iterate based on feedback π§ͺπ
- Maintain clean, modular, and reproducible code using best practices (you love Git, testing, and documentation!) π§Όπ
- Have 2β5+ years of experience in AI, machine learning, or applied data science
- Have solid coding skills in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn ππ»
- Understand how to train, evaluate, and tune models using real-world datasets
- Are comfortable deploying models via APIs or within cloud infrastructure (AWS/GCP/Azure) βοΈπ
- Have worked with NLP, computer vision, time series, or LLMs (even better if multiple!)
- Are curious, autonomous, and comfortable making decisions in ambiguity π§ π‘
- Are based in Switzerland and value the flexibility of remote work ππ§
- Bonus: Experience with MLOps, Docker, Kubernetes, or CI/CD pipelines
- 100% remote work (within Switzerland), flexible hours, async-friendly culture
- Challenging, meaningful projects with real-world impact
- A highly collaborative, international team of smart, humble people π¬π
- Freedom to explore new technologies and shape AI strategy
- Learning budget and support for personal development
- Competitive compensation and potential for long-term growth π±π