Senior Solution Engineer

Role Overview

• Ensure top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs
• Design and implement data labeling pipelines
• Act as a trusted technical advisor for customers
• Help customers understand their data needs, discover new opportunities, and build scalable AI solutions
• Act as the primary technical point of contact for customers across technical and executive stakeholders
• Lead discovery conversations to deeply understand client goals, problems and quality criteria
• Translate client needs into clear, actionable solution designs and delivery plans
• Advise customers on best practices in data collection, data quality, evaluation, and model training workflows
• Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently
• Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions
• Design end-to-end data solutions using Toloka’s platform
• Configure data labeling components and quality controls and develop user interfaces
• Run experiments and pilots to validate quality, throughput, and cost assumptions
• Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed
• Ensure solutions meet agreed quality, performance, and scalability requirements
• Own delivery outcomes holistically
• including technical performance, quality, timelines, and financial efficiency
• Monitor key KPIs and act on deviations
• Prioritize work based on customer impact and business value
• Analyze data to identify failure modes, inefficiencies, and opportunities for improvement
• Continuously optimize solutions through iteration, automation, and adoption of new technologies
• Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams
• Drive solutions toward stable operation with minimal ongoing maintenance

Requirements

• More than 3 years of solid technical background
• Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager
• Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management
• Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration)
• Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask)
• Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus
• Experience designing multi-stage pipelines and complex systems
• Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.
• Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations
• Ability to reason about trade-offs between quality, speed, cost, and scalability
• Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences
• Confidence working with data engineers, ML engineers, and researchers from leading tech companies
• Strong ownership mindset: comfortable being accountable for outcomes, not just tasks
• Ability to manage multiple projects in fast-paced, ambiguous environments

Tech Stack

• Flask
• Numpy
• Pandas
• Python

Benefits

• Flexible working arrangements