AI Engineer / Data Engineer (Indianapolis, IN / Onsite)
Tasks
- Build APIs and services integrating models
- Build dataset feature pipelines
- Build ingestion transformation and storage pipelines
- Debug performance tuning and failure analysis
- Deploy model monitoring and evaluation
- Design deploy machine learning models
- Develop ETL/ELT pipelines
- Implement data validation and cleansing
- Implement model governance and versioning
- Implement model inference services
- Maintain CI/CD pipelines
- Set up containers for deployment
- Write automated tests and documentation
Perks/Benefits
- 401k plan
- Catered lunches
- Dental insurance
- HDHP Medical Plan
- Onsite fitness center
- PPO medical plan
- Training opportunities
- Vision insurance
- Wellness program
Skills/Tech-stack
API Development | Artificial Intelligence | Automated testing | CI/CD | Containers | Data Cleansing | Data Modeling | Data Preprocessing | Data Validation | Data Visualization | ELT | ETL | Experiment tracking | Feature Engineering | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Model Evaluation | Model Serving | Python | SQL | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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