Mid-Level AI Engineer
McLean, Virginia, United States
USD 114K-200K (estimate) Senior-level Full Time
Tasks
- Automate model deployment workflows
- Customize large language models
- Deploy models with MLOps
- Develop generative AI prototypes
- Engineer features
- Ensure reliable scalable inference
- Evaluate model performance
- Integrate models into production pipelines
- Maintain reproducible development
- Monitor deployed models
- Orchestrate containers with Kubernetes
- Prepare training data
- Set up CI/CD pipelines
- Train machine learning models
- Tune model performance
- Write well-documented code
Perks/Benefits
- Disability insurance
- Family leave
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Training and development
- Wellness resources
- Work from home
Skills/Tech-stack
AWS | AWS CDK | AWS Lambda | AWS Serverless | Azure | CI/CD | Cloud platform | CloudFormation | Container Orchestration | Deep learning | Docker | Dockerfile | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | OpenAI | PyTorch | Python | Scikit-learn | Supervised Learning | TensorFlow | Terraform | Unsupervised Learning | VS Code | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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