🛠 Tech Stack

💼 About This Role

You'll be the main technical architect for deploying machine learning solutions with strategic enterprise clients. You'll establish production-grade implementations, ensuring successful on-site deployments and rapid market adoption through client satisfaction.

🎯 What You'll Do

• Design and implement ML solutions for client environments
• Lead technical engagement with clients on model training and deployment
• Develop reusable playbooks and libraries for deployment acceleration
• Advise internal teams on real-world client infrastructure constraints

📋 Requirements

• 2+ years in a customer-facing technical role
• Experience in ML lifecycle including training and deployment
• Proficiency in Python and deployment technologies (Docker, Kubernetes)
• Track record of deploying complex software with cloud or on-premise ML workloads

✨ Nice to Have

• Experience with LLM capabilities and implementation patterns
• Knowledge of modern ML frameworks (SageMaker, Vertex AI, Azure AI)

🎁 Benefits & Perks

• ✈️ 27 PTO days plus additional days based on seniority
• 💰 60% pension contribution and 13.5-15.5% base salary for savings
• 🚆 60% refund of annual transportation subscription
• 🌍 Global workforce with employees in 20+ countries
• 🎉 Annual kick-off event worldwide