You will define Polish-language use cases and quality targets while building datasets and evaluations to measure model performance. Additionally, you will improve model quality through fine-tuning and post-training methods while setting up monitoring for production updates.
You will train, fine-tune, and evaluate speech recognition models to improve transcription quality for meeting audio. Additionally, you will collaborate with engineering and product teams to deploy, monitor, and optimize model performance in production.
You will develop and improve agent and long-context LLM capabilities by running post-training experiments and designing reliable multi-step task execution. Additionally, you will build diagnostic tools and benchmarks to measure performance while collaborating with cross-functional teams to deploy models into production.
You will build and manage infrastructure for ML workflows, including model training, fine-tuning, and deployment pipelines. Additionally, you will optimize GPU utilization and implement monitoring tools to ensure reliable production operations.
Develop and improve Sophea AI by focusing on LLM pre-training, fine-tuning, and evaluation for European languages. Build and optimize production-grade ML pipelines for inference, deployment, and GPU workload efficiency.
