MLOps Engineer

Posted 11 days agoViewed

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💎 Seniority level: Junior, 2+ years

📍 Location: Canada (British Columbia and Ontario), UK (London), India (Gujarat, Maharashtra, and Bengaluru)

🔍 Industry: Software Development

🏢 Company: Loopio Inc.

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: AWSDockerPythonSQLCloud ComputingGitKubeflowKubernetesMachine LearningMLFlowAirflowgRPCREST APITensorflowCI/CDRESTful APIsLinuxSoftware Engineering

Requirements:

2+ years of experience working in ML operations, ML engineering, or related infrastructure roles.
Comfort working with AWS (or similar cloud environments), Docker, and Kubernetes.
Strong Python development skills, with a solid understanding of software engineering practices (testing, logging, version control, code review).
Experience with tools such as MLflow, SageMaker, TensorFlow Serving, or TorchServe.

Responsibilities:

Build and maintain robust ML pipelines for training, evaluation, and deployment.
Package and deploy models into production environments using tools like Docker, Kubernetes, and SageMaker.
Help implement systems to monitor model health in production, detect drift, and log predictions.
Work within our CI/CD systems to support model validation, promotion, and rollback.
Partner with ML Engineers and Data Scientists to bring ML systems into production.
Partner with Infra and DevOps teams to understand their tooling deeply in order to help implement ML systems and related cloud architecture.

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