Lead AI Engineer (ML Ops)
Irving - 6011 Connection, United States
USD 116K-170K Senior-level Full Time
Tasks
- Architect AI infrastructure
- Author technical documentation
- Build MLOps and LLMOps pipelines
- Collaborate with data science teams
- Develop model validation and drift detection
- Enforce security, compliance, and governance
- Implement model lifecycle management
- Implement model monitoring and alerting
- Implement scalable AI deployments
- Operationalize machine learning prototypes
- Productionalize AI and ML models
- Set up CI CD for model deployments
Perks/Benefits
- 401k match
- Employee assistance program
- Employee charity match
- Employee stock purchase plan
- Health and wellness allowance
- Health insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Work from home flexibility
Skills/Tech-stack
APIs | AWS | Agile Scrum | Azure | CI/CD | CloudFormation | Data Pipelines | Data Processing | Docker | Docker Swarm | Drift Detection | Generative AI | Google Cloud | Infrastructure as Code | Kubeflow | Kubernetes | Language Models | Large Language Models | MLflow | Machine Learning | Microservices | Model Monitoring | Performance optimization | 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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