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Design and deliver end-to-end data labeling and ML pipelines using Toloka's platform. Act as primary technical contact for clients, lead discovery and solution design, run pilots, monitor KPIs, troubleshoot delivery, and optimize quality, cost, and scalability while coordinating internal teams and stakeholders.

Lead applied ML efforts to embed LLMs and agentic workflows into production, focusing on anti-fraud, automated evaluation, and operational automation. Design reusable architectures, implement observability and A/B tests, partner with delivery and clients, and set engineering standards for prompts, agents, pipelines, and CI/CD.

Serve as the senior client-facing technical lead to design and build data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders, diagnose data needs, architect multi-stage automated solutions (RAG, agentic workflows, synthetic data), run experiments, deliver production-ready pipelines, mentor engineers, and own delivery timelines and commercial outcomes.

Serve as a senior client-facing technical lead who designs and builds data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders to diagnose needs, propose data strategies, architect multi-stage automated pipelines (including RAG, synthetic data, agentic systems), deliver solutions end-to-end, and own commercial outcomes and expansion opportunities.

Provide commercial contracting support for procurement and vendor agreements, own contract lifecycle management in the CLM, draft/negotiate NDAs, SaaS and services agreements, manage renewals and metadata hygiene, escalate privacy/security/IP risks, and maintain templates and playbooks while partnering with procurement, product, and finance.

Design and deliver end-to-end data labeling and ML data pipelines using Toloka's platform. Act as primary technical contact for customers, lead discovery and solution design, configure tooling (including agentic systems and RAGs), run pilots, monitor KPIs, troubleshoot delivery, and optimize for quality, cost, and scalability while coordinating cross-functional teams.

Design and deliver end-to-end data labeling and ML pipelines on Toloka's platform. Serve as primary technical contact, run pilots, configure workflows and quality controls, monitor KPIs, troubleshoot delivery, and advise customers on data, evaluation, and model-training best practices.

Lead end-to-end delivery and operational excellence of multiple complex AI/data programs. Define program strategy, roadmaps, governance, technical oversight, vendor management, and embed responsible AI practices while mentoring cross-functional teams and ensuring quality, timelines, and margins.

Design and deliver end-to-end data labeling and AI training pipelines, act as technical point of contact for clients, run pilots, ensure quality and scalability, monitor KPIs, and manage delivery outcomes and stakeholder communication.

Design, configure, and maintain data-labeling pipelines using Toloka and Python. Engage clients to define requirements, support presales and delivery, run experiments, monitor solution performance, troubleshoot issues, and optimize pipelines for ML/LLM training.