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Role: Azure AI/ML Archiect - W2
Location: Northbrook, IL, USA (Hybrid)
Must-Have Skills:
Microsoft Azure ML Architecting Experience - 40% weightage Microsoft Azure AI Architecting Experience - 40% weightage Microsoft Azure DevOps Architecting Experience - 20% weightage
As an AI Architect on the Data Science team, you will play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with
Azure ,
Docker , and
Azure Kubernetes Service (AKS) , as well as strong knowledge of
cloud-native MLOps
best practices.
Responsibilities
Design and implement scalable, cloud-native ML pipelines for production AI solutions. Collaborate with data scientists to operationalize ML models from prototypes to production. Manage deployment of ML models using Azure Machine Learning and AKS. Develop, containerize, and orchestrate services using Docker and Kubernetes. Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments. Implement robust monitoring, logging, and CI/CD practices to support AI operations (MLOps). Work closely with enterprise cloud architects to align AI solutions with client's infrastructure standards. Contribute to the evolution of the best practices around AI/ML systems in production environments.
Qualifications
Minimum 12 years of experience as a Data Scientist, with at least 3 years focused on machine learning engineering in cloud environments. Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS. Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring. Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus). Proficiency in Python, SQL, and Linux-based development environments. Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs. Effective communicator with strong problem-solving skills and ability to work across teams.
Education
Bachelor's degree in Computer Science, Electronic Engineering, Data Science, or a related field.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Design, Art/Creative, and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Sign in to set job alerts for “Lead Architect” roles.
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Role: Azure AI/ML Archiect - W2
Location: Northbrook, IL, USA (Hybrid)
Must-Have Skills:
Microsoft Azure ML Architecting Experience - 40% weightage Microsoft Azure AI Architecting Experience - 40% weightage Microsoft Azure DevOps Architecting Experience - 20% weightage
As an AI Architect on the Data Science team, you will play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with
Azure ,
Docker , and
Azure Kubernetes Service (AKS) , as well as strong knowledge of
cloud-native MLOps
best practices.
Responsibilities
Design and implement scalable, cloud-native ML pipelines for production AI solutions. Collaborate with data scientists to operationalize ML models from prototypes to production. Manage deployment of ML models using Azure Machine Learning and AKS. Develop, containerize, and orchestrate services using Docker and Kubernetes. Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments. Implement robust monitoring, logging, and CI/CD practices to support AI operations (MLOps). Work closely with enterprise cloud architects to align AI solutions with client's infrastructure standards. Contribute to the evolution of the best practices around AI/ML systems in production environments.
Qualifications
Minimum 12 years of experience as a Data Scientist, with at least 3 years focused on machine learning engineering in cloud environments. Proven experience deploying ML models in Azure, preferably with Azure Machine Learning, Docker, and AKS. Hands-on experience building cloud-native pipelines for model training, scoring, and monitoring. Familiarity with GenAI concepts and tools (experience operationalizing GenAI is a plus). Proficiency in Python, SQL, and Linux-based development environments. Strong understanding of MLOps principles, CI/CD pipelines, and production-grade APIs. Effective communicator with strong problem-solving skills and ability to work across teams.
Education
Bachelor's degree in Computer Science, Electronic Engineering, Data Science, or a related field.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Design, Art/Creative, and Information Technology Industries Software Development Referrals increase your chances of interviewing at Jobs via Dice by 2x Sign in to set job alerts for “Lead Architect” roles.
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#J-18808-Ljbffr