🛠 Tech Stack

💼 About This Role

You'll lead development and deployment of production-grade ML systems for clients in finance and other regulated industries. You'll design and build scalable infrastructure and act as a trusted advisor to customers. This role offers the chance to shape best practices for responsible AI deployment.

🎯 What You'll Do

• Lead technical scoping and architectural decisions for ML systems
• Design and build production-grade ML software and infrastructure
• Define and implement best practices for deploying ML at scale
• Mentor junior engineers and shape engineering culture

📋 Requirements

• Experience with full ML lifecycle and frameworks like TensorFlow or PyTorch
• Deep software engineering expertise and strong Python skills
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Experience with Docker and Kubernetes for containerization and orchestration

✨ Nice to Have

• Experience working in regulated industries
• Background in financial services

🎁 Benefits & Perks

• 🏖️ Unlimited Annual Leave Policy
• 🏥 Private healthcare and dental
• 👶 Enhanced parental leave
• 💻 Hybrid working
• 🧘 Sanctus Coaching

📨 Hiring Process

Talent Team Screen (30 min), Pair Programming Interview (90 min), System Design Interview (90 min), Commercial Interview (60 min)