Solution Architect, MLOps

Job Summary

A company is looking for a Solution Architect, MLOps.

Key Responsibilities

• Architect and implement data science deployment solutions for enterprise clients
• Collaborate with data scientists to prepare and transform data for production
• Lead model QA, testing, validation, and production rollout efforts

Required Qualifications

• 6+ years of experience in ML Engineer, Software Engineer, or Data Engineer roles
• Strong background in Python, Scala, Java, or similar programming languages
• Proficient in deploying models in production environments
• Expertise in SQL and distributed computing tools like Spark and Snowflake
• Solid understanding of cloud infrastructure and architecture (e.g., AWS, Azure, GCP)