ML Engineer
Full-time
ConnectHum
Role Description
We’re hiring an ML Engineer to work on AI evaluation, synthetic data, and model safety at scale.
- 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.
Qualifications
- 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.
Requirements
- Python.
- PyTorch / TensorFlow.
Benefits
- Competitive compensation.
- Comprehensive health coverage.
- Top-tier hardware & tools.
- Budget for learning.
Company Description
- 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.
Vacancy posted 6 days ago
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