🛠 Tech Stack

💼 About This Role

You'll lead ML projects on Google Cloud Platform for world-class clients, blending hands-on engineering with client consulting. You'll drive innovative AI solutions that future-proof businesses and unlock actionable insights. This role combines deep technical expertise with the opportunity to shape client strategy.

🎯 What You'll Do

• Develop ML models from vague requirements
• Optimize ML solutions for performance and scalability
• Implement MLOps workflows focusing on automation
• Architect ML solutions using Google Cloud tools

📋 Requirements

• Multiple years of Machine Learning Engineer experience
• Proficiency in Python for production-ready code
• Familiarity with cloud platforms Google Cloud, AWS, or Azure
• Hands-on experience with SQL for querying and managing data

✨ Nice to Have

• Scale-up experience
• Cloud certifications (e.g., Google Cloud Professional ML Engineer)

🎁 Benefits & Perks

• 🌴 30 days holiday plus bank holidays
• 💊 4500 kr/year Healthcare Allowance
• 🏋️ Up to 5000 kr/year Wellness Allowance
• 🏠 1200 kr WFH Equipment Allowance
• 📚 Access to Udemy for learning and growth

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Client Presentation· 60 min