AI/ML Engineer
Minneapolis, MN, United States
USD 118K-215K (estimate) Mid-level Full Time
Tasks
- Build MCP hosts clients and servers
- Build end-to-end AI/ML pipelines
- Create generative AI solutions using prompt engineering
- Create regression test suites for drift and prompt breakage
- Create reusable AI components and best practices
- Design, develop, and deploy machine learning models
- Develop and test LLM applications
- Ensure responsible AI bias mitigation and ethical deployment
- Establish automated LLM testing frameworks
- Implement intelligent document processing and OCR workflows
- Implement retrieval-augmented generation pipelines
- Integrate AI services with internal and external APIs
- Monitor secure and scalable AI solutions in production
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS API | AWS API Gateway | AWS Bedrock | AWS IAM | AWS Lambda | AWS SageMaker | AWS Step Functions | Airflow | Amazon S3 | CI/CD | Confluence | Deep learning | Docker | Document processing | Dynatrace | Embeddings | Feature Engineering | Generative AI | Git | Intelligent Document Processing | Jira | Kubeflow | Kubernetes | LLM APIs | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Model Monitoring | Model versioning | OCR | Observability | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Step Functions | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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