
Advanced Machine Learning Engineer
3 hours ago
Create and implement automated workflows for machine learning operations.
Design, develop, and deploy scalable and secure machine learning models, packages, and notebooks.
Conduct security scans, train, register, and deploy machine learning models and packages.
Required Skills and QualificationsKey Highlights:
- Proficient in containerization with Docker and orchestration using Kubernetes, ECS, and EKS.
- Familiarity with cloud platforms including AWS, Azure, or GCP, and services like Sagemaker, AzureML, and Vertex AI.
- Hands-on experience with ML pipeline tools such as Kubeflow, MLflow, and Airflow.
- Strong programming skills in Python and Bash.
Candidate Profile:
- Must have strong hands-on experience with cloud platforms and related services.
- Excellent knowledge of scripting and programming languages.
- Nice to have skills in Databricks, ML Modelling, Feature Engineering, Data Visualization, Statistical Analysis, and crafting MLOPS templates.
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