Azure Machine Learning Engineer

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 ML 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/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML.
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.

General skills (must have):

machine learning 4 year(s) of experience

Data science 4 year(s) of experience

Azure 3 year(s) of experience


Language skills (must have):