🛠 Tech Stack

💼 About This Role

You'll lead the development of production-grade AI systems that optimize drug discovery and clinical development for global pharma giants and MedTech startups. You'll architect end-to-end MLOps pipelines and scalable cloud infrastructure, ensuring complex models move from research to real-world healthcare impact. This is a technical leadership role driving life-changing medical innovation.

🎯 What You'll Do

• Lead technical scoping and architectural decisions for ML systems.
• Build and manage scalable infrastructure using Docker, Kubernetes, and cloud platforms.
• Mentor junior engineers and act as trusted technical advisor to stakeholders.

📋 Requirements

• Extensive experience operationalizing machine learning models at scale using Python and TensorFlow or PyTorch.
• Proven expertise in cloud architecture and container orchestration (Kubernetes/Docker).
• Strong technical leadership skills, navigating fast-paced environments.

✨ Nice to Have

• Experience in life sciences or healthcare AI.
• Consulting or client-facing background.

🎁 Benefits & Perks

• 🏖️ Unlimited annual leave
• 🏥 Private healthcare
• 💰 Competitive compensation
• 🌍 Hybrid work flexibility
• 🎓 PhD-heavy engineering culture

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Talk to Jack (AI recruiter)· 15 min
2. 2Jill (AI recruiter) review· 1-2 days
3. 3Client interview· 1 hour

🚩 Heads Up

• Position may be anonymized (company name not fully disclosed)
• Role is recruited by AI agents, may add friction