Posted:2 days ago|
Platform:
Hybrid
Full Time
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Proven experience with MLOps concepts and tools for model lifecycle management (e.g., MLflow, Kubeflow, Sagemaker MLOps, Azure ML Pipelines).• Strong SQL skills for data manipulation, analysis, and feature extraction from relational databases.• Experience with data preprocessing, feature engineering, and handling large datasets.• Familiarity with software development best practices including version control (Git), code reviews, and CI/CD.• Excellent problem-solving skills and the ability to work on complex, ambiguous problems.• Strong communication and collaboration skills to work effectively with cross-functional teams.
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