System Inc.
Posted 80 days agoVerified live 2d ago
General Application — Data & AI/ML Engineering
Brief overview
Remote
UndergradOr in progress
4+ yrsMinimum
PythonSQLSparkdbtAirflowAWSGCPAzureML lifecycle managementModel versioningModel deploymentSystems design principlesData pipelinesETL/ELT workflowsFeature storesVector databasesInfrastructure as code
About the company
System Inc.system.com
The complex challenges of our time can't be solved in silos. We build software to help the world see and solve them as systems. System Inc.
Job description
Summary
System Inc. is a Public Benefit Corporation focused on healthcare technology. As a Data & AI/ML Engineer, you will design and maintain data pipelines and infrastructure for machine learning models, ensuring reliability and performance in production environments.
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
Qualifications
Must Haves
- 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
Nice to Haves
- 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
Benefits
- We believe in cultivating a growth mindset for our team — always learning, improving, being challenged, and having opportunities for professional and personal development.
- System Inc. is an equal opportunity employer. We are proud to foster a workplace, in person and online, free from discrimination.
- We strongly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and a better product for our users.
- We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.
More jobs like this
