Software Engineer, AI Platform

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.

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).

Hybrid Work Model: We ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected

Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.

Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.

Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters caf networking.

Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.

Purpose Driven Work: We have a superpower that we ve never talked about with as much pride as we should - we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.