🛠 Tech Stack

💼 About This Role

You'll design and build production AI systems for diverse clients, from ML pipelines to generative AI solutions. You'll see work through from first experiment to operational system, delivering real business value. You'll also guide junior colleagues and contribute to thought leadership at a top employer.

🎯 What You'll Do

• Design and build AI systems across the full stack
• Operationalise ML pipelines and LLM applications
• Advise clients on build vs buy and model selection
• Guide junior colleagues and contribute to engagement quality

📋 Requirements

• Master's Degree in Engineering or Technology
• 2-4 years full-time ML engineering experience
• Python proficiency and ML framework expertise
• Cloud platform experience (AWS, Azure, or GCP)

✨ Nice to Have

• Experience with agentic AI systems
• Responsible AI and governance knowledge
• Fine-tuning foundation models (LoRA, RLHF)

🎁 Benefits & Perks

• 🏢 Diverse client landscape with innovative tech companies
• 🌍 International network of 2000+ talented individuals
• 🧭 Experienced mentor and professional coach
• 💰 Competitive salary with biannual reviews and equal pay
• 📈 Company shares and Deutschlandticket

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Case presentation· 60 min
4. 4Offer· 1 week