We’re hiring an ML Engineer to work on AI evaluation, synthetic data, and model safety at scale.
The Company Behind the Role:Working on enterprise-grade AI systems and large-scale deployments.
Strong expertise in AI, data, cloud, and analytics.
Operating across the US, Europe, and other global markets.
Projects focused on real-world AI applications and safety-critical systems.
Global technology consulting and engineering company with a strong focus on AI and data platforms.
Your Impact:Build and scale automated evaluation systems for AI models.
Develop and train automated “judge” models to assess AI outputs.
Design validation frameworks to ensure accuracy and reliability across languages.
Create synthetic data pipelines to improve evaluation coverage.
Build scalable analysis and reporting systems for AI performance.
Work closely with language experts and cross-functional teams.
3+ years of experience in ML engineering or applied ML research.
Experience training, fine-tuning, and evaluating language models or classifiers.
Experience building data pipelines and automated evaluation or monitoring systems.
Strong understanding of experimentation and statistical validation
Fluent English.
Python.
PyTorch / TensorFlow.
Experience with synthetic data generation.
Background in multilingual NLP.
Experience with distributed ML systems (Spark, Ray, cloud).
Competitive compensation
Comprehensive health coverage
Top-tier hardware & tools
Budget for learning
This role is open to candidates based in the US only. You must have valid work authorization. At this time, the company does not provide visa sponsorship.
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