ML Engineer MLops
Concord IT Systems
Job Title: ML Engineer - MLops
Sub Skill: MLOPS - Cloud (AWS/ GCP/ Azure)
Type: Contract
Location: Cincinnati, OH (onsite day 1) Job Summary:
We're looking for an MLOps Engineer (Azure focused) who is experienced in designing and implementing AI applications at scale in production for our Enterprise AI team. The team is a cross-functional team and has AI Engineers, MLOps Engineers, Software Engineers, data scientists and data engineers in building end to AI Solutions on Azure.
Roles and Responsibilities:
As an AI architect you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.
Owning End to End Model life cycle from Build, Operationalize and monitor ML models on Azure using Azure ML, Azure AI services etc.
Design & implementation of DevOps principles in AI/ML.
Model quality assurance and testing
Model Governance and Monitoring
Execute best practices in version control and continuous integration / delivery
Collaborate with data scientists, engineers, and other key stakeholders.
Work well in a fast-paced cross-functional environment
Skills/Requirements:
8+ years of overall experience and minimum 5+ years' experience in AI/ML
Experience in Architecting & Implementing ML solutions on Azure.
Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools.
Good Python Programming skills. Experience with distributed frameworks like Dask, Ray etc. will be advantage.
Experience with Machine learning frameworks, libraries, and agile environments.
Experience with version control tools such as Git, Bitbucket etc.
Experience with No SQL databases.
Very Strong communication skills
Outstanding analytical and problem-solving skills
Sub Skill: MLOPS - Cloud (AWS/ GCP/ Azure)
Type: Contract
Location: Cincinnati, OH (onsite day 1) Job Summary:
We're looking for an MLOps Engineer (Azure focused) who is experienced in designing and implementing AI applications at scale in production for our Enterprise AI team. The team is a cross-functional team and has AI Engineers, MLOps Engineers, Software Engineers, data scientists and data engineers in building end to AI Solutions on Azure.
Roles and Responsibilities:
As an AI architect you will be a key stakeholder and owning responsibility in designing and architecting end to end ML solutions.
Owning End to End Model life cycle from Build, Operationalize and monitor ML models on Azure using Azure ML, Azure AI services etc.
Design & implementation of DevOps principles in AI/ML.
Model quality assurance and testing
Model Governance and Monitoring
Execute best practices in version control and continuous integration / delivery
Collaborate with data scientists, engineers, and other key stakeholders.
Work well in a fast-paced cross-functional environment
Skills/Requirements:
8+ years of overall experience and minimum 5+ years' experience in AI/ML
Experience in Architecting & Implementing ML solutions on Azure.
Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools.
Good Python Programming skills. Experience with distributed frameworks like Dask, Ray etc. will be advantage.
Experience with Machine learning frameworks, libraries, and agile environments.
Experience with version control tools such as Git, Bitbucket etc.
Experience with No SQL databases.
Very Strong communication skills
Outstanding analytical and problem-solving skills
Vacancy posted 11 hours ago
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