🛠 Tech Stack

💼 About This Role

You'll design and operate ML infrastructure to accelerate model training, deployment, and governance at a technology wholesale platform supporting local businesses worldwide, bridging data science and production engineering.

🎯 What You'll Do

• Design and operate ML infrastructure (workspaces, clusters, jobs, workflows)
• Productionize ML workloads using Spark, Delta Lake, MLflow, Databricks
• Teach data scientists to utilize the ML platform
• Build CI/CD pipelines for ML using Terraform and Git-based workflows

📋 Requirements

• 8+ years building production ML or data platforms
• Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow
• Proficiency in Python, SQL, and distributed systems concepts
• Experience with cloud platforms and infrastructure-as-code

✨ Nice to Have

• Experience supporting multiple ML teams in a shared platform environment
• Graduate degree in Computer Science, Engineering, Statistics, or related field
• Knowledge of generative AI tools (e.g., Claude, ChatGPT)

🎁 Benefits & Perks

• 💰 Competitive pay plus equity and comprehensive benefits
• 🏖️ Flexible hybrid schedule (3 days in office, up to 4 weeks remote per year)
• 📈 Best-in-class tools including latest enterprise AI
• 🤝 Supportive team of sharp, kind colleagues

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Screen· 45 min
3. 3Virtual Onsite (4-5 rounds)· 4 hours