DevOps/MLOps Specialist
Tasks
- Build automation for model deployment and management
- Collaborate with data scientists, ML engineers, and software developers
- Create and manage CI CD pipelines for ML and LLM models
- Deploy manage and optimize machine learning models in cloud
- Design and implement MLOps and LLMOps pipelines
- Develop data pipelines for training and serving
- Implement model monitoring and alerting
- Manage model version control governance and lifecycle
- Optimize model performance for cost speed and accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | Apache Airflow | Apache Beam | Apache Kafka | CI/CD | CircleCI | Cloud platform | Distributed Systems | Docker | GDPR | GPU | Generative AI | GitLab CI | Google Cloud | Google Cloud Platform | Grafana | Hugging Face | Jenkins | Kubeflow | Kubernetes | LLMOps | MLOps | MLflow | Machine Learning | Microsoft Azure | Model Compression | Prometheus | PyTorch | TPU | TensorFlow | TensorFlow Serving | Terraform | Torchserve
Roles
DevOps | DevOps Engineer | Engineer | ML Engineer | MLOps Engineer
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