🛠 Tech Stack

💼 About This Role

You'll own and improve the model training and deployment pipeline using DVC and GCP, ensuring models are robust, traceable, and reliable in production. You'll work on real-world biological data to translate analytical findings into concrete improvements. Join a mission-driven startup pioneering continuous hormone monitoring.

🎯 What You'll Do

• Own and improve ML training and deployment pipeline with DVC and GCP
• Develop reproducible training workflows and safe deployment strategies
• Perform error analyses, calibrations, and model performance investigations
• Translate analytical findings into concrete model and pipeline improvements

📋 Requirements

• 5+ years building and deploying ML systems in production
• Python programming and cloud environment experience
• Rigorous approach to reproducibility and operational reliability
• Experience with real-world, noisy data and signal extraction

✨ Nice to Have

• Experience with DVC, GCP, or ML pipelines (MLflow, Metaflow)
• Model monitoring in production for drift and regressions
• Familiarity with multimodal learning (images and tabular data)

🎁 Benefits & Perks

• 🏥 Health insurance (medical, dental, vision)
• 🏖️ Flexible schedule and vacation
• ♨️ Unlimited access to Bota Bota spa
• 🚀 High impact at early-stage startup
• 🤝 Small, diverse team (<25 people)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Apply via link· 5 min
2. 2Recruiter screen· 30 min
3. 3Technical interview· 60 min