AI/ML Platform Engineer
TechniPros, LLC
Fairfax, VA, United States
about 2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
Microsoft Azure
Cloud Engineering
Continuous Integration
DevOps
Python (Programming Language)
Machine Learning
Standard Sql
Azure Machine Learning
Google Cloud
+9 more
Delivery Pipeline
Git
Fastapi
AI Platforms
Kubernetes
Machine Learning Operations
Dataiku
Restful APIs
Docker
Job description
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., * 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.
Requirements
- 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
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