AI/ML Platform Engineer

TechniPros, LLC
Chicago, IL, United States
1 day 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 Python (Programming Language) Machine Learning Standard Sql Azure Machine Learning Google Cloud Delivery Pipeline
+8 more
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.

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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