Centric Consulting · 5 days ago
Azure ML Ops Engineer
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Responsibilities
Design and implement machine learning solutions using AzureML to support various business needs.
Develop, configure, and maintain Azure pipelines for continuous integration and continuous delivery (CI/CD) of machine learning models.
Work with Python and YAML to script and automate tasks within the Azure environment.
Deploy and monitor scalable machine learning models in production environments.
Collaborate with data scientists and engineers in the development of ML models and ensure their seamless integration with Azure services.
Leverage Azure Data Factory (ADF) when necessary to aid in the orchestration of data flow and ETL processes.
Provide expertise and guidance in best practices for ML Ops within Azure.
Diagnose and resolve any issues related to model deployment and operationalization.
Qualification
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Required
Strong proficiency in Azure cloud services, with a focus on Azure ML and related Azure services.
Excellent coding skills in Python
Experience in YAML scripting.
Proven experience with model deployment and operationalization strategies.
Knowledge of building and managing CI/CD pipelines.
Ability to work both independently and as part of a team, with a proactive attitude and the ability to take initiative.
Strong problem-solving skills and the ability to work under tight deadlines.
Good communication and collaboration skills.
Preferred
Familiarity with Azure Data Factory and its role in data orchestration is beneficial.
Relevant Azure certifications are a plus
Benefits
Parental leave
Flexible remote working options
Flexible health care options
Long-term disability
401(k) benefits
Company
Centric Consulting
Centric Consulting provides full-service management consulting services.
H1B Sponsorship
Centric Consulting has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (18)
2022 (12)
2021 (2)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
$0.4MKey Investors
Amazon Web Services
2022-11-02Grant· $0.4M
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