ML Engineer (AI)

We’re hiring an ML Engineer to work on AI evaluation, synthetic data, and model safety at scale.

• 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.

• 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).