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T
◆ 8/10
aiOtherremote
About this role
Top Selection is looking for a Senior AI Researcher to develop generative AI models for visual and project content synthesis. Remote work with a salary range of 260,000 to 300,000 ₽ per month.
Description
Top Selection is looking for a Senior AI Researcher to develop generative AI models for visual and project content synthesis. Remote work with a salary range of 260,000 to 300,000 ₽ per month.
Responsibilities
Responsibilities
- Development of generative AI models for synthesizing visual and project content based on structured product catalog data within the corporate AI initiative evaluation platform.
Requirements
Requirements
- Development of agent architecture: managing dialogue state and context, dynamic tool selection, setting autonomy levels and human-in-the-loop scenarios.
- Deep understanding of the ML model lifecycle: from feature preparation to result interpretation.
- Knowledge of overfitting prevention methods, data leakage, regularization; confident algorithm selection for tasks.
- Proficiency in statistical methods for hypothesis testing, confidence interval calculation, and independent A/B test design.
- Building a metrics system: developing offline and online indicators, cross-validation, direct business effect assessment.
- Continuous monitoring of model drift and data quality in production.
- Experience in at least one of the following areas: classical machine learning; time series and forecasting.
- Languages and libraries: Python (pandas/polars, NumPy, scikit-learn, CatBoost/XGBoost/LightGBM, PyTorch), advanced SQL.
- Writing maintainable production code: modular architecture, unit tests, logging, documentation, working with GitFlow and code review.
- Building evaluation pipelines (LLM Evals): controlling hallucinations, relevance of responses, and monitoring system behavior.
- Ensuring security: protection against prompt injection, preventing personal data leaks (PII/privacy), and auditing agent access rights.
- Practical experience with language model APIs, Hugging Face platform, and orchestration frameworks.
- Ability to assess cost, latency, and scalability of LLM solutions.
- Experience in e-commerce, retail, or other high-load product systems.
- Infrastructure and orchestration: Airflow, MLflow, Kafka, Redis, Kubernetes.
- Monitoring and observability: Prometheus, Grafana, OpenTelemetry.
- Experience operating GPU infrastructure and optimizing inference.
- Model adaptation through fine-tuning (LoRA/PEFT).
- Experience designing agentic workflows or multi-agent systems.
- Understanding of information security principles, privacy, and working with personal data.
Job Details
LocationRemote
AI Score★★★★★★★★☆☆ 8/10
PostedSep 26, 2026 (16d ago)
Tags & Skills
aiOtherremote
Tech Stack
PythonpandaspolarsNumPyscikit-learnCatBoostXGBoostLightGBMPyTorchSQLAirflowMLflowKafkaRedisKubernetesPrometheusGrafanaOpenTelemetry