Senior Machine Learning Engineer, Moderation Automation (Remote)

About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.

Role overview

Our client is a large-scale, high-traffic social content platform who is seeking a talented Machine Learning Engineer will play a pivotal role in accelerating AI-driven moderation for our platform. You'll design, build, and deploy cutting-edge LLM and traditional ML models to automate enforcement of platform rules across diverse content types. This hands-on position offers the chance to shape the future of content safety, collaborating with product engineers on internal tools, rapid prototyping, validation, and production optimization.

Locations: 100% Remote - Ireland, Armenia, Poland, Portugal, Romania, United Arab Emirates, United Kingdom, Croatia, Egypt, Hungary, Bulgaria, Argentina, Brazil, Chile, Guatemala, Mexico, Panama

Contract: 12-18 months contract of FTE

Key Responsibilities

• Design, build, and deploy LLM and non-LLM based models to solve critical user-facing classifier problems.
• Help internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
• Build model testing/validation and other internal tools that help the team execute faster.

Requirements

• At least 5+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.

• Proficient in Python and have a solid understanding of software development best practices for rapid development.

• Experience working with Classifier problems.

• Experience in Google Vertex/Gemini LLM and its capabilities.

• Familiarity with image/video processing ML systems.

• Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.

• Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.

• Experience working on large B2C applications.