AI/ML Platform Engineer
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Role details
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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.
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
Mandatory Skills:
· Python
· Machine Learning
· MLOps
· LLMOps
· MLflow
· Kubeflow
· Feature Store
· Docker
· Kubernetes
· Azure/AWS/Google Cloud Platform
· FastAPI
· CI/CD
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