Senior Machine Learning Engineer
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Job Description
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Checking deployment pipelines for ML models.
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Review Code changes and pull requests from the data science team.
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Triggers CI/CD pipelines after code approvals.
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Monitors pipelines and ensures all tests pass and model artifacts are generated/stored correctly.
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Deploys updated models to prod after pipeline completion.
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Works closely with the software engineering and DevOps team to ensure smooth integration.
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Containerize models using Docker and deploy on cloud platforms (like AWS/GCP/Azure).
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Set up monitoring tools to track various metrics like response time, error rates, and resource utilization.
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Establish alerts and notifications to quickly detect anomalies or deviations from expected behavior.
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Collaborate with the data science team to develop updated pipelines to cover any faults and Analyze monitoring data, logs, files, and system metrics.
Employment Type
Full Time
