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Senior Data Scientist in CommIT
Posted more than 30 days ago
2 views
CommIT
Without experience
Kyiv
End-to-end data science work, including ML engineering and MLops work (around 50%) Model development, fine-tuning and implementation, including various LLMs and ML models and across business domains Measure, analyze and evaluate models in development and production Build and aggregating datasets in various domains Perform and perfect context engineering Create model POCs in various domains Translate model POCs into production-grade services as POCs mature REQUIREMENTS Indications of exce
- End-to-end data science work, including ML engineering and MLops work (around 50%)
- Model development, fine-tuning and implementation, including various LLMs and ML
- models and across business domains
- Measure, analyze and evaluate models in development and production
- Build and aggregating datasets in various domains
- Perform and perfect context engineering
- Create model POCs in various domains
- Translate model POCs into production-grade services as POCs mature
REQUIREMENTS
- Indications of excellence of any kind (papers, patents, etc)
- Solid understanding of NLP and LLMs in particular
- Solid understanding of mathematical and statistical concepts relevant to ML
- Experience with model evaluation- advantage
- Experience with models in production environment- significant advantage
- Experience with MLOps- significant advantage
- Ideal concrete skill set:
- Programming languages- Python, SQL
- LLMs- GPT family, Claude family
- ML frameworks- Pytorch, Tensorflow
- Data frameworks- Numpy, Pandas
- Pipeline frameworks- Huggingface, Langchain, WanDB/Traceloop/DeepChecks
- (advantage)
- Vector database framework of any kind (Pinecone, QDrant, Faiss, PGVector, etc)
- AWS ecosystem- Bedrock, Sagemaker, Knowledgebase- advantage
- GCP/Azure ecosystem proficiency- advantage
