Opal Platform Engineering

ROLE OVERVIEW

This role sits at the operational core of our internal platform, Opal, ensuring clients are configured, operational, and supported without requiring direct AI/ML Engineering involvement for routine matters.

The ideal candidate is a technical operator with a strong problem-solving mindset, capable of bridging client delivery and platform mechanics. You should be comfortable troubleshooting a broken MT pipeline, presenting performance data in a QBR, and building lightweight automation to eliminate manual work—all within the same week.

 MAIN RESPONSIBILITIES 

• Configure and maintain platform environments across TMS platforms (e.g., XTM, Phrase, memoQ, Trados), including MT engine connections, workflows, AIPE/AIQE parameters, and provider-level settings (glossaries, dictionaries, model selection).
• Act as the primary diagnostics layer between production teams and AI/ML Engineering. Investigate MT quality issues, identify root causes (data, engine, pipeline, or TMS), and escalate with clear reproduction steps and context.
• Manage end-to-end MT operations: data preparation, TM analysis, engine training, evaluation, deployment, and monitoring. Maintain relationships with MT providers and identify opportunities to optimise performance.
• Support pre-sales as an MT/AI subject matter expert. Build ROI models, prepare QBR insights (e.g., edit distance trends, MT savings, cost usage), and advise clients on MT strategy, including engine selection and content suitability.
• Identify and eliminate manual processes through automation. Design or build tools, scripts, and workflows that reduce human intervention and improve scalability. This is a core expectation of the role.