AI-powered translation and interpretation platform for regulated industries
BIG Language Solutions operates a hybrid human-AI translation and interpretation service built on a modern ML stack—PyTorch, TensorFlow, Hugging Face, MLflow, and cloud infrastructure across AWS, Azure, and GCP. The company is actively building LLM evaluation pipelines, RAG systems for translation, and fine-tuning workflows, while adopting SageMaker and Kubeflow. This signals a shift from purely human-driven services toward AI-assisted workflows, supported by engineering and ML infrastructure hiring focused on model deployment and pipeline reliability.
BIG Language Solutions provides translation, interpretation, and localization services for healthcare, government, and financial services organizations. The company handles complex, regulated translation work—including specialized services like Braille, large print, and healthcare-specific terminology—alongside real-time interpretation (including over-the-phone). Founded in 2019 and headquartered in Atlanta, the company operates with a 501–1,000-person workforce distributed across the US, India, Bulgaria, Mexico, China, and the Netherlands. The service model combines expert human linguists with emerging AI tooling to address client constraints around cost predictability, interpreter availability, and regulatory compliance.
Python, PyTorch, TensorFlow, Hugging Face Transformers, MLflow, Docker, Kubernetes on AWS/Azure/GCP. Database layer runs SQL Server, MySQL, PostgreSQL, and Oracle. Enterprise tools include MemoQ (translation management) and Sage Intacct (finance).
LLM fine-tuning for translation, RAG pipelines, LLM evaluation frameworks, and a simultaneous interpretation platform. Also migrating legacy telephony to cloud and addressing system reliability and call quality issues.
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