🛠 Tech Stack

💼 About This Role

You'll design and manage ML infrastructure for a remote-first cloud data company. Your core impact is ensuring data science models deploy to production at scale, collaborating with data scientists and customers. This role stands out with cutting-edge tools like Snowflake, Kubernetes, and Spark.

🎯 What You'll Do

• Design environments for data scientists to build models and manipulate data.
• Define deployment approach and infrastructure for models.
• Partner with data scientists to ensure solution deployability at scale.
• Create operational testing strategies and validate models in QA.

📋 Requirements

• 4+ years as ML Engineer, Software Engineer, or Data Engineer.
• Bachelor's degree in Computer Engineering or related field.
• Production deployment experience with data science models.
• Expertise in Python, Scala, or Java and SQL.