Toloka logo
Toloka

Your high quality data partner for all stages of AI development

Senior Solution Engineer

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 51-200Since 2014H1B No SponsorCompany SiteLinkedIn

Location

Europe

Posted

5 days ago

Salary

0

Seniority

Senior

Bachelor Degree3 yrs expEnglishFlaskNumpyPandasPython

Job Description

Senior Solution Engineer

Toloka

• 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

Job 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

Benefits

  • Flexible working arrangements

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