Lead AI Engineer (ML Ops)
Irving - 6011 Connection, United States
USD 116K-170K Senior-level Full Time
Tasks
- Architect AI infrastructure and deployment strategies
- Author technical documentation
- Build production-ready AI systems
- Collaborate with data science teams
- Enable model monitoring and drift detection
- Enforce enterprise security and compliance requirements
- Establish MLOps and LLMOps pipelines
- Implement model lifecycle management best practices
- Lead AI/ML model productionalization
- Operationalize experimental models
- Set up version control and automated testing
Perks/Benefits
- 401k match
- Charity match
- Employee assistance program
- Employee stock purchase plan
- Health and wellness allowance
- Medical, dental, and vision insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Work from home
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud services | CloudFormation | Configuration Management | Data Engineering | Data Processing | Deep learning | Docker | Drift Detection | GCP | Generative AI | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Monitoring | PyTorch | Python | Real Time | Real-time Data | Real-time Data Processing | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Terraform | Vector Databases | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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