Senior MLOps Engineer

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Requirements:

• Experience engineering data-heavy applications or building large data pipelines from scratch
• Experience on an engineering team supporting MLOps software or similar roles
• 4+ years as a MLOps, Backend Engineer, or in a similar position
• Experience with Python
• Familiarity with relational databases
• Excellent communication and teamwork skills
• Ability to learn new technologies rapidly and navigate around the stack
• Must be a US resident or citizen

Responsibilities:

• Write data pipeline workflows for building features and training models
• Build robust and scalable machine learning infrastructure for model inference in batch and real-time
• Optimize LLM deployment and inference
• Design and build software for ML model iteration and deployment, including model monitoring
• Collaborate with teams to ideate user experience and product solutions
• Develop server-side architecture and data models for data products integrating ML
• Manage databases and applications effectively
• Write effective APIs and technical documentation
• Work with analysts to enhance software