DevOps/MLOps Specialist
Tasks
- Automate model deployment and management
- Build data pipelines for training and serving
- Create monitoring systems for model performance
- Deploy manage and optimize machine learning models in cloud
- Design and implement LLMOps pipelines
- Design and implement MLOps pipelines
- Diagnose model issues and ensure reliability
- Implement CI CD pipelines for ML and LLM models
- Maintain security and governance for AI systems
- Manage model version control and lifecycle
- Optimize model cost speed and accuracy
- Orchestrate training and serving pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Ansible | Apache Airflow | Apache Beam | Apache Kafka | CI/CD | CircleCI | Data Privacy | Data pipeline | Distributed Systems | Docker | GDPR | GPU | GitLab CI | Grafana | Hugging Face | Jenkins | Kubeflow | Kubernetes | LLMOps | MLOps | MLflow | Machine Learning | Model Compression | Model Serving | Prometheus | PyTorch | TPU | TensorFlow | TensorFlow Serving | Terraform | Torchserve
Education
Bachelor of Engineering | Bachelor of Technology | Master of Computer Applications | Master of Technology
Roles
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