Duration : 1 year ( with potential for extension)

Job Overview:

aNumak & Company is seeking a passionate and experienced Azure MLOps Engineer to join our dynamic team. In this remote role, you will be responsible for the entire machine learning lifecycle, from model development and deployment to monitoring and maintenance. You will leverage your expertise in Azure Machine Learning and MLOps best practices to build and manage robust machine learning pipelines that deliver real business value.

Key Responsibilities:

Design and implement MLOps workflows using Azure Machine Learning pipelines and related services.
Develop and automate data preprocessing, feature engineering, training, and deployment processes.
Monitor model performance and proactively identify and address potential issues.
Implement data drift detection and mitigation strategies.
Collaborate with data scientists, DevOps engineers, and business stakeholders to ensure successful model adoption.
Stay up-to-date with the latest advancements in Azure ML and MLOps practices.

Qualifications:

3-4 years of experience in data engineering, DevOps, or related field.
Proven experience with Azure Machine Learning, Azure Data Factory, and Azure DevOps.
Familiarity with machine learning concepts and model training pipelines.
Strong understanding of CI/CD best practices and automation tools.
Excellent communication and collaboration skills.
Ability to work independently and as part of a cross-functional team.

Benefits:

Competitive salary package.
Opportunity to work on cutting-edge machine learning projects.
Collaborative and supportive work environment with professional development opportunities

How to apply:

Please submit your resume and a brief cover letter to Hr@anumak.com with the subject line “Azure MLOps Engineer – [Your Name]”

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