FULLTIME
MLOps Engineer (LLM MLOps)
Capabiliq INC
Not specified · onsite · Posted 42d ago
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Not disclosed4–6 yrsfulltimeNot specified
About a minute. You'll make an account on the way through.
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Section · 01
About this role
Experience-4+yrs
Key Responsibilities
- Model Deployment using Docker and Kubernetes.
- Design, build, and maintain CI/CD pipelines for ML workflows.
- Monitor model drift, latency, and performance metrics.
- Manage cloud infrastructure across AWS, Azure, or GCP.
- Collaborate with Data Scientists to optimise model performance and scalability.
Required Skills
- Strong proficiency in Python and Shell Scripting.
- Hands-on experience with Docker, Kubernetes, and CI/CD tools.
- Experience with TensorFlow, PyTorch, and Scikit-Learn.
- Knowledge of MLflow and Weights & Biases.
- Exposure to AWS SageMaker, Azure Machine Learning, or GCP Vertex AI.
- Good understanding of MLOps, DevOps, and ML deployment best practices.
Sourced from foundit
Section · 02
Skills
DevopsDockerBashML deployment best practicesKubernetesAws SagemakerGCP Vertex Aimlflowci/cd toolsAzure Machine LearningMLOpsPytorchTensorflowScikit-LearnWeights BiasesPython