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
Rate:
Not specified
Location:
Chicago
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Senior