Senior AI/ML Platform Engineer - Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando
TechniPros, LLC
- Job
- 29848
- Posted
- Location
- Remote, in SC
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- Machine Learning
- MLOps
- LLMOps
- MLflow
- Kubeflow
- Feature Stores
- Docker
- Kubernetes
- AWS
- FastAPI
- and CI/CD pipelines.
About the job
Job Title: Senior AI/ML Platform Engineer
Location: Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC, Orlando, FL.
Looking for W2 candidates. No C2C
Job Summary
We are seeking a Senior AI/ML Platform Engineer to build enterprise-scale Machine Learning platforms supporting model development, deployment, monitoring, and governance. The ideal candidate should have strong expertise in MLOps, LLMOps, cloud-native AI platforms, Feature Stores, and scalable ML infrastructure.
Key Responsibilities
• Design enterprise AI/ML platforms and reusable ML pipelines.
• Build scalable MLOps and LLMOps workflows.
• Develop model training and deployment pipelines.
• Implement Feature Stores and Model Registry.
• Build CI/CD pipelines for ML applications.
• Monitor model performance, drift, and data quality.
• Develop REST APIs for model serving.
• Deploy workloads on Azure, AWS, or Google Cloud Platform.
• Implement Responsible AI and model governance.
• Collaborate with Data Science and DevOps teams.
Required Skills
• Python
• SQL
• Machine Learning
• MLOps
• LLMOps
• MLflow
• Kubeflow
• Feature Store
• Model Registry
• Docker
• Kubernetes
• FastAPI
• REST APIs
• Git
• Azure / AWS / Google Cloud Platform
• CI/CD
Preferred Skills
• SageMaker
• Azure ML
• Vertex AI
• Ray
• Airflow
• Dataiku
Mandatory Skills
• Python
• Machine Learning
• MLOps
• LLMOps
• MLflow
• Kubeflow
• Feature Store
• Docker
• Kubernetes
• Azure/AWS/Google Cloud Platform
• FastAPI
• CI/CD
Best Regards:
Lucy Rose
Phone: +1-
Email: