Consultant Machine Learning Engineer
Tasks
- Build ML pipelines and model training
- Collaborate with data scientists and engineers
- Deploy and manage ML applications
- Deploy and manage ML models
- Develop ML architectures and infrastructure
- Ensure high availability, performance, and security
- Explore and implement new ML tools and frameworks
- Identify and resolve challenges in ML systems and applications
- Implement MLOps and CI/CD for ML
- Monitor and evaluate ML systems
- Translate business needs into ML systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Distributed Systems | Google Cloud | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | PyTorch | Python | Scikit-learn | Shell | TensorFlow | “as-code”
Education
N/A
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