AI Engineer / Data Engineer (Indianapolis, IN / Onsite)
Tasks
- Build APIs and services for model integration
- Build ingestion transformation and storage pipelines
- Collaborate with domain stakeholders to deliver solutions
- Create model governance and versioning standards
- Deploy and monitor machine learning systems
- Design and deploy machine learning models
- Develop ETL and ELT pipelines
- Implement data validation and cleansing
- Implement model inference services
- Prepare datasets and feature pipelines
- Set up CI/CD and automated testing
Perks/Benefits
- Catered lunches
- Employer Paid Dental Plan
- Employer Paid Vision Plan
- Fully Invested 401K Plan
- HDHP Medical Plan
- Onsite fitness center
- PPO medical plan
- Training opportunities
- Wellness program
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud Computing | Containers | Data Cleansing | Data Modeling | Data Pipelines | Data Validation | Data Visualization | Data orchestration | ELT | ETL | Feature Engineering | GCP | MLOps | Machine Learning | Model Evaluation | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow | Testing | 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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