Nokia Azure Platform Engineer 

India 

78841750

Key Responsibilities:

• Develop and maintain automation scripts using Python and Terraform for Infrastructure as Code (IaC).
• Design, build, and deploy machine learning models using Azure Machine Learning Workspace.
• Preprocess and analyze data, perform feature engineering, and create data visualizations.
• Implement and manage big data solutions using Azure Databricks.
• Utilize version control systems, preferably Azure DevOps, for managing code and machine learning pipelines.
• Work with Azure Synapse Analytics for data warehousing and exploration.
• Deploy and scale machine learning models using Azure Kubernetes Service (AKS).
• Monitor and log machine learning pipelines and models using Azure Monitor.
• Collaborate with cross-functional teams to ensure seamless integration and deployment of machine learning solutions.
• Stay updated with the latest trends and advancements in cloud computing and machine learning technologies.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Overall 5-9 years of work experience in Python development.
• Proven experience as an Azure Platform Engineer or in a similar role.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Preferably Certified Cloud Developer/Architect in Azure
• Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems
• Work with an Agile mindset to create value across projects of multiple scopes and scale
• Excellent communication skill – oral, written, presenting, creation of report outs etc.
• Solution seeker, diligent with detail orientation
• Positive approach

Azure Stack (Desirable):

• Azure Synapse Analytics: Experience with a unified analytics platform for data warehousing, data exploration, and machine learning.
• Azure Machine Learning (AML): Proficiency in a comprehensive platform for building, training, deploying, and managing machine learning models.
• Azure Databricks: Experience with a fully managed Apache Spark-based analytics platform for data engineering and machine learning.
• Azure Kubernetes Service (AKS): Experience with a managed Kubernetes service for deploying and scaling machine learning models.
• Azure DevOps: Experience with a platform for continuous integration and continuous delivery (CI/CD) of machine learning models.
• Azure Storage: Knowledge of various storage options for data, models, and artifacts.
• Azure Monitor: Experience in monitoring and logging machine learning pipelines and models.

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark