Data Scientist
Posted Updated 7
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Description
- Business & Data Understanding, Data Preparation, Model Development, Validation and Deployment
- Understand business use cases/ functionality and recommend appropriate solutions for the Azure ML platform.
- Strong conceptual knowledge and working experience on all features of Azure ML Studio, ML Services and ML Ops.
- Hands-on experience in Machine Learning model development/deployment (CI/CD).
- Aware of Machine Learning concepts like feature selection/deep learning/AI.
- Strong Knowledge of, deep learning, natural language processing, and neural networks
- Expertise and Experience in Microsoft Azure ML Platform, machine learning Python / Pyspark, AI/ML, ML Ops, DevOps
- Experience with Machine Learning and Deep Learning tools (Azure ML, Sage Maker, TensorFlow, Kubernetes, etc.)
- Experience with SQL and Power BI Dashboards