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4 авг
data scientist
ориентир по рынку
вакансия
зп не указана
в среднем
255 465 ₽
мэтч
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описание
Applications for this job are no longer accepted.
Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations solve complex technical challenges and achieve business outcomes during digital transformation.
задачи
- Research, define, and model Polish-specific voice scam tactics, fraud strategies, and edge-case scenarios to evaluate real-time call safety features;
- Design, engineer, and refine complex prompts to guide and automate LLM outputs for dataset generation, transcription annotation, and policy evaluation in Colab and internal frameworks;
- Conduct model testing, red-teaming, and evaluation of Google-ecosystem LLMs to improve detection accuracy and prevent social engineering fraud;
- Generate, annotate, and validate datasets of call transcriptions and evaluation metrics for downstream ML engineering teams;
- Explore and implement agentic AI approaches to automate data generation, testing pipelines, and workflow orchestration;
- Act as a technical lead and domain expert, mentor team members, align cross-functional project deliverables, and drive operational excellence within a global team.
требования
- Native-level fluency in Polish, including speaking, reading, and writing, with a deep understanding of local social engineering and scam tactics;
- 6+ Years of experience as a Data Scientist, Data Analyst, GenAI Engineer, or in a similar AI-focused role;
- Strong Python skills for data manipulation, analysis, and pipeline scripting;
- Hands-on experience with prompt engineering, core LLM concepts, model evaluation methodologies, and LLM capabilities and limitations;
- Proven experience collaborating with ML engineering teams to build, validate, and deliver high-quality datasets;
- Leadership experience, including managing deadline-driven deliverables, navigating ambiguity, and owning end-to-end analytical workflows;
- Bachelor’s degree in Computer Science, Data Science, or a related quantitative field;
- Nice to have: Master’s degree in Computer Science, AI, or Data Analytics, practical experience with Google Cloud data tools, Colab, and Google LLM/GenAI ecosystem technologies, experience implementing Agentic AI frameworks for automated workflow execution.
условия
- Competitive salary;
- Flexible schedule;
- Medical insurance and sports benefits;
- Corporate social events;
- Professional development opportunities;
- Well-equipped office.
навыки
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