About the Role

In this opportunity you will:

• Build and Maintain software that tracks the full lifecycle of ML from ideation to post deployment monitoring

• Assist in the deployment of machine learning models into production and support these models throughout their lifecycle.

• Build out features that help data scientists iterate and re-train models at speed and ease.

• Build out features that facilitate the data collection and annotation for non-structured data and NLP use cases

• 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

• Create and deploy tooling for model monitoring and model governance

• Be part of a model ops framework

• 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 Senior AI Software Engineer if you meet all or most of these criteria:

• 5 years in Software Engineering

• Hands-on experience working with public cloud technology (AWS, Azure, GCP)

• Ability to collaborate with scientists, product management and work with an engineering-focused, iterative team to build and establish product requirements.

• Comfortable building prototypes from scratch.

• Experience with cloud AI capabilities (e.g. AWS sagemaker)

• Proficiency in modern programming languages like Python and/or Java

• Experience with relational and/or non-relational databases

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

• Experience building ETL data pipelines.

• Proficient in DevOps practices CI/CD in AWS, Git, Monitoring