Azure Machine Learning Engineer

Job Description

Responsibilities

Client Job Description:

• Prior Experience Hands on experience on working in Azure cloud platform.
• Experience in designing and implementing scalable and secure Azure cloud solutions using Data Bricks Client platform.
• Understanding of implementation of architecture within Azure Big Data Analytics Al tools.
• Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation.
• Experience in Azure cloud technologies like PySpark, Synapse, ADF, Databricks, Python, Scala and SQL.
• Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks
• Extensive Experience on working on Azure AI services including Data Bricks and Azure cognitive services.
• Highly preferred experience on working with Azure OpenAI services.
• Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
• Hands-on AI/Client modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/Client.
• Expertise in most of the following areas: supervised & unsupervised learning, deep learning, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, and optimization.
• Experience in creating and deploying code libraries using functions and classes in Python in AI product-focused development.
• Well-versed in software development and code quality best industry practices.
• Experience working with Agile Development methodologies