Job Title: Lead MLOps Engineer
Location: Dallas TX (Hybrid)
Duration: 6 months
Skills:
- MLOps
- CI/CD pipelines
- AWS
- Python
- TensorFlow
- Terraform
Key Responsibilities
- Model Deployment & Serving
- Deploy ML models into production environments using tools such as Docker Kubernetes and model serving frameworks (e.g. TensorFlow Serving TorchServe MLflow).
- Implement CI/CD pipelines for ML workflows.
- Pipeline Development & Automation
- Build and maintain end-to-end machine learning pipelines for data ingestion preprocessing training validation deployment and monitoring.
- Automate model retraining and versioning to ensure continuous improvement.
- Monitoring & Maintenance
- Set up monitoring and alerting systems for model performance data drift and infrastructure health.
- Troubleshoot and resolve model degradation issues in production.
- Collaboration & Integration
- Collaborate with data scientists to transition models from experimentation to production-ready systems.
- Work with DevOps and cloud teams to ensure ML workloads are scalable and cost-efficient.
- Security & Compliance
- Ensure compliance with data governance security and privacy regulations.
- Manage role-based access control (RBAC) for ML infrastructure.