Lead Software Engineer, AI Platform

Key Skills

Aartificial intelligence, Agile methodologies, AWS, AWS Sagemaker, Azure, Continuous Integration & Continuous Delivery - CI/CD, DevOps, Git, HTML, JavaScript, Kanban, Python Programming, Scrum Agile Methodology, TypeScript, UI design, UX design

Job Description

About the Role

In this opportunity, you will:  

• Build and evolve the AI Platform which includes being able to assess the current architecture and map to the “to-be” state. 

• Participate in all aspects of the development lifecycle: Ideation, Design, Build, Test and Operate 

• Utilize a variety of software and tools both commercial and open source 

• Enable self-service tooling for data science teams to create and maintain models

• Design, develop, integrate, and deploy tools for Data Science and ML Research, such as, Model Monitoring, Model Governance, Model Deployment, Data Management, Feature Engineering, among others. 

• Be able to design, implement, and operate a framework for Machine Learning Operations (MLOps).

• Design, evaluate, and advise on the day-to-day work of Software Engineering for Machine Learning 

• Ensure consistency with cloud architectural guiding principles

• Continuously challenge and evolve the existing platform capabilities and keep up to date with new offerings 

About You 

You’re a fit for the role of Lead Software Engineer, AI Platform if you meet all or most of these criteria:

• 7 years in Software Engineering 

• Hands-on experience working with at least one public cloud technology (AWS, Azure) 

• Experience with service-oriented and/or microservices architecture 

• Experience with AWS SageMaker, Azure ML, or similar Cloud AI capabilities 

• Proficiency in modern programming languages such as Python, JavaScript, TypeScript, C/C++, Java. 

• Experience with relational and non-relational databases

• Experience with Agile development and delivery – Scrum, Lean, XP, Kanban methodologies. 

• Hands on DevOps experience – CI/CD in AWS, Git, Monitoring, Log Analytics 

• A good understanding of frontend development (UI/UX concepts and frameworks, HTML, CSS, and Javascript) is an asset and a strong differential for this role. 

• Technical leadership including being able to break down high level requirements to features and stories 

• A can do attitude