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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)
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COMPLETE JOB DESCRIPTION
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Company Overview
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