Lead Machine Learning Engineer

Role & responsibilities

• Minimum 5 years experience in Object Oriented Design and/or Functional Programming in Python. 10 - 15 years of experience
• Mature software engineering skills, such as source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc. • Must have a disciplined, methodical, minimalist approach to designing and constructing layered software components that can be embedded within larger frameworks or applications. • Experience implementing machine learning frameworks and libraries such as MLflow • Experience with containers and container managements (docker, Kubernetes) • Experience developing cloud first solutions using Microsoft Azure Services including building machine learning pipelines in Azure Machine Learning and/or Fabric, Hands-on experience in deploying machine learning pipelines with Azure Machine Learning SDK • Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. • Proficient at orchestrating large-scale ML/DL jobs, leveraging big data tooling and modern container orchestration infrastructure, to tackle distributed training and massive parallel model executions on cloud infrastructure.