Knowledge of Azure relevant certifications such as Azure Solutions Architect, Azure AI Engineer
Deep knowledge in the Machine Learning and data space including designing, building, optimizing and scaling data-intensive ML solutions using distributed computing Comprehensive understanding of cloud delivery models: PaaS, SaaS, and IaaS Strong expertise in Azure Terraform and Infrastructure as Code (IaC) concepts
Programming/scripting skills are a plus (PowerShell, python, terraforms, C#)
Ability to see and implement patterns that enable solution simplification
Ability to influence through persuasion
Experience:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience
5+ years of experience in an architecture or engineering role focusing on machine learning models and deploying them into production at scale 2+ years of professional experience in Azure cloud services and infrastructure management
Experience with next generation architectural concepts, including Integrations, advanced analytics, cloud analytics, big data, artificial intelligence, and/or machine learning
Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems
Experience working with DevOps on prem or in cloud environments, including but not limited to Deep understanding of compute, storage, networking, Docker/Containers, Kubernetes, cloud APIs and IaaS
Experience with orchestration frameworks
Experience with natural language processing or deep learning frameworks such as Tensorflow, Pytorch, or HuggingFace, etc
Strong analytical and problem-solving skills
Self-motivated individual that thrives in a dynamic environment