Machine Learning Engineer · Data Scientist in Calaton Systems

Ideal candidates will have experience with: • Machine learning algorithms and tools (pytorch, etc).

• Natural language processing

• Transformers architecture

• General data science background (e.g. pandas, SQL, dataset processing, etc).

• Information retrieval, distributed computing, AI inference in productionResponsibilities: • Writing product code

• Training and tuning large language models

• Designing and implementing information retrieval systems across diverse datasets

• Participate in design reviews, architecture discussions.

• Building a data ingestion / machine learning pipeline / MLOPS

• Triage production issues / optimization of inference in production

• Develop and test production-grade scalable machine learning algorithms using deep learning methods.

• Create and verify the latest research methods for controllable text generation.

• Develop and test data processing pipelines.