Staff SW Engineer, Machine Learning Operations
Tasks
- Build REST APIs
- Collaborate on technical roadmap
- Define requirements to deployment plans
- Deploy applications to cloud
- Deploy computer vision solutions
- Develop microservices
- Ensure production code quality
- Implement data ETL pipelines
- Integrate ML AI products
- Maintain ML AI products
- Manage cloud infrastructure
- Test software for reliability
Perks/Benefits
- 401k match
- AD&D insurance
- Dental insurance
- Disability insurance
- Employee assistance program
- Employee stock purchase program
- Flexible spending accounts
- Group term life insurance
- Health insurance
- Mac or PC choice
- Paid time off
- Paid volunteer leave
- Parental leave
- Professional development
- Travel assistance program
- Vision insurance
Skills/Tech-stack
API Integration | AWS Batch | AWS EKS | AWS IAM | Amazon Aurora | Amazon EC2 | Amazon RDS | Amazon S3 | Amazon SNS | Amazon SQS | Amazon Web Services | Computer Vision | DVC | Dask | Data ETL | Data Modeling | DataOps | GDAL | Geopandas | Geospatial | Go | Kubernetes | MLOps | Microservices | PostGIS | PostgreSQL | Python | REST APIs | Rasterio | Relational databases | SQL | Shapely | Third Party | Third-party API | Third-party API integration | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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