DS Developer
6.0/10
T1
Not specified
Office / on-site
mid
about 5 hours ago
aidevweb3rwagamingcryptoPythonSQLMachine LearningNLPDockerKubernetes
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The vacancy is well-defined in tasks and requirements but lacks compensation details.
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Description
Responsibilities
- •Integrate existing LLM solutions into company products and services (via API, backend, data processing pipelines).
- •Evaluate model response quality using automatic metrics (BLEU, ROUGE, MMLU) and participate in organizing human evaluation.
- •Ensure safety and filtering of generated content (setting up basic guardrails).
- •Work with RAG systems:
- •Assist in data indexing;
- •Execute queries to vector databases;
- •Participate in optimizing search and generation under the guidance of senior specialists.
- •Interact with product and ML teams to discuss technical solutions.
- •Optimize inference performance at a basic level (setting up batching, caching simple results).
- •Work with ready-made multimodal solutions (text, images, documents) as needed.
- •Perform fine-tuning of existing LLMs using established pipelines and methodologies.
Requirements
Requirements
- •Higher education (IT, technical, mathematical).
- •Proficient in Python and SQL.
- •Good knowledge in:
- •Probability theory and mathematical statistics;
- •Basic machine learning algorithms (ML);
- •NLP algorithms (text classification, tokenization, vector representations).
- •Understanding of LLM operation principles, basic usage scenarios, and fine-tuning.
- •Experience deploying ML solutions (Docker, basic scenarios in Kubernetes or cloud platforms).
- •Experience with:
- •Vector databases (executing queries, understanding index structure);
- •LangChain or LlamaIndex frameworks (basic usage);
- •LLM evaluation methods (understanding BLEU, ROUGE and their limitations).
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