Note: The job is a remote job and is open to candidates in USA. System Inc. is a Public Benefit Corporation that builds software to help the world see and solve anything as a system, particularly in healthcare. As a Data & AI/ML Engineer, you will design data pipelines, build infrastructure for ML models, and ensure the reliability of data systems.

Responsibilities

• Design and maintain scalable data pipelines and ETL/ELT workflows
• Build and operate infrastructure for training, deploying, and serving ML models in production
• Develop feature stores, vector databases, and other AI-enabling data infrastructure
• Ensure reliability, low latency, and high availability of data systems
• Partner closely with Research and Data Science to move findings into production
• Implement monitoring and observability for data and model health
• Contribute to infrastructure as code practices and documentation on cloud platforms

Skills

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 4+ years of experience in data engineering, ML engineering, or a related discipline
• Strong proficiency in Python and SQL; experience with Spark, dbt, or Airflow a plus
• Experience building and maintaining cloud data infrastructure (AWS, GCP, or Azure)
• Understanding of ML lifecycle management, model versioning, and deployment patterns
• Comfort with systems design principles applied to data-intensive architectures
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with knowledge graphs, graph databases, or semantic data models
• Experience with data migrations while maintaining service availability
• Background working with clinical or healthcare data
• Exposure to LLMOps or AI governance frameworks

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