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UG :- - Not Required
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PG :- - Not Required
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No of position :- ( 1 )
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Post :- 16th Dec 2021
Technical Skills
- Bachelor’s degree required. Masters / Degree with some computing, scientific, statistical, or mathematical component preferred
- 5+ years of working experience in any Azure Data Platform
- 3+ Experience in Azure cloud platform for AI/ML solutions
- Experience in Machine & Deep Learning Techniques, PySpark, Algorithms, NLP / CV
- Expert in programming languages such as Python, R, Microsoft R & SQL
- Strong foundation in data query/manipulation using SQL Server and data visualization using tools Power-BI, Tableau, Thoughtspot, D3.js
- Understanding of Analytics, Data Modelling, and Data Provisioning (acquisition, transformation, and sharing).
- Experience using Big Data technologies (Spark, PySpark, Databricks)
- Good working knowledge in DevOps, MLOps, CI/CD/CT pipelines
- Good understanding of Docker and Kubernetes and orchestrating Kubeflow / Apache Airflow
- Data visualization tools (PowerBI, Tableau, Thoughtspot, D3.js)
- Business Analysis and Excellent Communication and Presentation Skills
- Experience deploying machine learning models into production environment.
- Knowledge of containerization and orchestration (such as Docker, Kubernetes)
- Experience with ML training/retraining, Model Registry, ML model performance measurement
- MS Azure certifications
- Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Good to have:
- Exposure in Azure IoT Hub / Azure Data Explorer / Azure Event Hub / Azure Stream Analytics
- Azure Data Factory / Azure Data Lake / Azure Synapse
- Azure Functions / Azure Purview
- Machine/Deep Learning / AI certifications (Preferred)