Machine Learning Engineer
Machine Learning Engineer
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Job Description
Job Title: Machine Learning Engineer
About the Role
We are looking for a Machine Learning Engineer to drive the full lifecycle of machine learning models from development to deployment and ongoing monitoring. This role requires strong experience in CI/CD workflows model lifecycle management and cloudagnostic solutions. The ideal candidate will work on building and automating ML workflows ensuring seamless integration and performance of models over time.
Responsibilities
Design build and manage CI/CD workflows for machine learning models.
Develop and implement model lifecycle workflows including training deployment and monitoring.
Automate model drift detection and manage retraining cycles to maintain accuracy.
Ensure cloudagnostic deployment strategies and integrate with 3rdparty model lifecycles.
Build selfservice capabilities to streamline ML model management.
Work with trained models integrate with REST APIs and oversee model performance monitoring over time.
Manage and release artifacts related to machine learning models.
Collaborate with data scientists engineers and stakeholders to enhance ML infrastructure.
Requirements
Strong knowledge of machine learning principles and best practices.
Experience with CI/CD pipelines GitHub Actions and automated deployment strategies.
Handson experience with model lifecycle management including retraining and drift detection.
Expertise in cloudagnostic ML deployment solutions.
Familiarity with REST APIs and model serving architectures.
Knowledge of monitoring tools for tracking model performance over time.
Experience working with thirdparty models and selfservice ML platforms.
This is a great opportunity for an ML Engineer who enjoys building scalable automated workflows and ensuring machine learning models remain performant and reliable over time.
Employment Type
Full Time
