What are the responsibilities and job description for the MLOps Engineer position at Neural Strategic Solutions, Inc.?
Title: MLOps Engineer
Location: South Florida (Hybrid/Onsite) - LOCALS
Company: Hospitality
Visa:
seeking an MLOps Engineer to bridge Data Engineering and Data Science teams by deploying, monitoring, and scaling machine learning solutions in production.
Key Responsibilities
- Build and maintain ML deployment pipelines and production inference environments.
- Implement CI/CD processes for machine learning workflows.
- Monitor model performance, drift, reliability, and governance.
- Develop automated retraining and observability frameworks.
- Partner with engineering and data science teams to operationalize AI solutions at scale.
Required Experience
- Experience deploying and supporting machine learning models in production.
- Strong understanding of MLOps best practices and CI/CD automation.
- Experience with MLflow, Kubeflow, SageMaker, Databricks, Azure ML, Vertex AI, or similar platforms.
- Experience with Docker, Kubernetes, and cloud-native environments.
- Background in large-scale AI, analytics, or machine learning platforms.
Keywords: MLOps, MLflow, Kubeflow, Docker, Kubernetes, CI/CD, Model Monitoring, Drift Detection, Model Governance, Databricks, SageMaker, Production ML, Observability