We are the "E2E Customer Support" team of the "Customer Care" department. Our key task is to help clients through a convenient channel, as quickly and efficiently as possible, based on their life situation. We are involved in the development and implementation of voice and text assistants for clients, automation and optimization of support processes, and building an autonomous bank. To achieve this, we actively implement AI solutions and LLMs.
Responsibilities
- Responsible for the full cycle of creating LLM and ML-based solutions: working with data, preparing datasets, training/fine-tuning NLP models, quality assessment, deployment to PRODUCTION, and support
- Searching for and verifying data-driven hypotheses within client request processing workflows
- Collaborating with the team of business representatives and DS developers
- Participating in the industrial implementation and maintenance of ML solutions: preparing releases, monitoring technical and product metrics, participating in incident detection and resolution
- Optimizing model performance for the production environment on CPU/GPU.
Requirements
- Python development experience: pytorch, numpy, sklearn, pandas, text processing libraries
- Basic engineering skills: git, environments, reproducibility, etc.
- Excellent theoretical knowledge of basic algorithms and data structures, classic and neural network NLP (including LLM)
- Practical experience working with LLMs via API
- Experience training/fine-tuning classic transformers
- Practical experience building and deploying ML solutions to PRODUCTION
- Prompt engineering experience
- SQL knowledge.
Would be a plus:
- Experience with LangChain/LangGraph libraries (or similar)
- Experience with agent-based systems
- Experience training/fine-tuning LLMs
- Experience with distributed training, deep knowledge of GPU architecture
- Experience in setting up and conducting A/B tests
- Experience with Hadoop (HDFS, Hive), Spark.
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Work format - hybrid after the probationary period
- Annual salary review, annual bonus
- Corporate gym and recreation areas
- Over 400 educational programs from SberUniversity for professional and career development
- Expanded voluntary medical insurance, preferential insurance for family, and corporate pension program
- Flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
- Free SberPrime+ subscription, discounts on partner company products
- Reward for recommending friends to the Sber team.
