Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Временный формат
Работа с GenAI
Понятные задачи
Время на развитие
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (GenAI & AI Engineering): Building and evaluating Generative AI systems from prototypes to production-ready components with an accent on experimentation, model evaluation, and product-focused machine learning. Focus on designing baselines, analysing errors and failure modes, communicating trade-offs, and developing AI engineering practices.
Location: London, England; hybrid with 40% office-based working
Company
hirify.global is a global data and technology company serving markets including financial services, healthcare, automotive, agribusiness, and insurance.
What you will do
Frame ambiguous product and business ideas into clear problem statements, assumptions, and success metrics with product, engineering, and business teams.
Design and run experiments to evaluate Generative AI systems, including baseline comparisons, error analysis, and failure-mode analysis.
Build and refine Generative AI systems from prototypes through production-ready components using modern development practices and AI-assisted coding tools.
Analyse model and system behaviour in product contexts and determine when GenAI, simpler analytics, or conventional machine learning is the appropriate approach.
Communicate results, trade-offs, limitations, and recommendations to technical and non-technical stakeholders.
Share insights with the team and spend approximately 10% of the role on learning and knowledge sharing.
Requirements
Experience working as a data scientist or in a similar role.
Experience with applied machine learning and Python programming.
Comfort working with incomplete information through exploration and experimentation.
Interest in developing broader AI engineering and product-focused delivery skills.
Ability to connect product, data, and engineering context to identify issues and improve decisions.
Nice to have
Exposure to software engineering practices such as version control, testing, or object-oriented programming.
Understanding of how AI systems are deployed or operated through cloud services or containerised environments.
Experience explaining technical concepts or analysis to non-technical partners.
Culture & Benefits
Permanent, full-time employment with a four-month secondment arrangement.
Hybrid working with 40% office-based attendance.
Benefits include pension, Bupa healthcare, Sharesave, 25 days of annual leave, 8 bank holidays, and 3 volunteering days.
Additional annual leave can be purchased; compensation includes a discretionary bonus plan.
Approximately 10% of working time is allocated to learning and knowledge sharing.
Inclusive, purpose-driven culture with equal opportunity and reasonable accommodation support.
Hiring process
Recruitment communications are sent only through authorised channels using an @hirify.global.com email address.
hirify.global never requests payment during application, interviewing, assessment, onboarding, or recruitment.
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