Software Engineer, AI Platform (Open)

The Software Engineer, AI Platform is expected to be familiar with AI tooling and software engineering solutions required to streamline AI workflows and applications to enable AI/ML workflow development, testing, and deployment.

About the Role

In this opportunity as Software Engineer, AI Platform, you will:

• Participate in the build and maintenance of software that tracks the entire lifecycle of ML from ideation to post-deployment monitoring
• Build features that help data scientists iterate and re-train models quickly and easily.
• Build features that help non-ML experts investigate and use LLMs (Large Language Models) and prompt engineering.
• Utilize various open-source and commercial software and tools for services aligned to data acquisition, model development, and model governance.
• Enable self-service tooling for data science teams to create and maintain models.
• 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 Software Engineer, AI Platform if your background i

• Two+ years of experience in Software Engineering with a good grasp of Machine Learning, Data Science, and MLOps
• Hands-on experience working with public cloud technology (one of AWS, Azure, GCP).
• Experience with cloud AI capabilities (e.g., AWS Sagemaker and Azure Cognitive Services).
• Experience with Python programming language, including modern capabilities and the Python ML ecosystem (Numpy, Pandas, SKlearn, Tensorflow, PyTorch).
• Experience with relational and/or non-relational databases.
• Experience with Agile development and delivery Scrum, Lean, XP, Kanban methodologies.
• Comfortable building prototypes from scratch.
• DevOps experience CI/CD in AWS, Git, GitHub Actions, monitoring logging mechanisms, AWS Cloud Watch, Datadog, monitoring agents).