Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая зона ответственности, полный цикл AI-разработки и высокие требования к инженерному качеству и управлению рисками делают вакансию сильной, хотя в ней сочетаются техническое лидерство и работа с клиентами.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Scientist (AI): Leading the design and delivery of scalable Python-based machine learning and AI solutions from discovery through production, with an accent on model evaluation, MLOps, responsible AI, and stakeholder leadership. Focus on architecting production-grade systems, evaluating generative AI and multimodal solutions, and embedding governance, security, privacy, and regulatory controls.
Location: Singapore, Singapore; hybrid work mode.
Company
hirify.global is hiring a principal-level data science and AI leader for its Data, BI & Analytics area.
What you will do
Set technical direction for complex data science and AI initiatives, aligning solutions with business strategy, user needs, risk appetite, and measurable outcomes.
Lead end-to-end delivery from opportunity identification and data assessment through experimentation, deployment, adoption, monitoring, and continuous improvement.
Architect and build scalable, maintainable Python-based ML and AI solutions across structured and unstructured data.
Define evaluation frameworks, baselines, acceptance criteria, and measures for performance, reliability, fairness, drift, operational readiness, and business impact.
Advise senior stakeholders and clients, lead workshops and architecture reviews, present recommendations to C-level audiences, and shape propositions, proposals, and pre-sales activities.
Lead technical workstreams, mentor data scientists and engineers, and collaborate with data engineering, MLOps, platform, product, and application engineering teams on reusable capabilities.
Requirements
Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or Engineering, supported by an undergraduate Computer Science degree or prior professional software engineering experience.
9–12 years of extensive hands-on experience delivering data science, machine learning, or AI solutions, with technical leadership and measurable enterprise or client impact.
Deep expertise in applied machine learning, statistics, experimental design, and model evaluation.
Advanced proficiency in Python and SQL, including production-quality, testable, maintainable code and technical architecture.
Experience across the full ML lifecycle: data preparation, feature engineering, model development, validation, deployment, monitoring, and retraining, with MLOps principles.
Ability to lead complex cross-functional initiatives, mentor practitioners, raise engineering standards, and influence decisions without formal authority.
Exceptional written and verbal communication skills, including presenting technical topics, recommendations, and business value to clients, senior leaders, and non-technical audiences.
Nice to have
Experience designing and evaluating generative AI solutions involving large language models, retrieval-augmented generation, agentic workflows, document intelligence, OCR, multimodal models, or vision-language models.
Experience with Databricks, experiment tracking, model registries, and automated ML delivery pipelines.
Knowledge of APIs, version control, automated testing, CI/CD, containerization, cloud deployment, observability, and production support.
Experience in a regulated industry and practical knowledge of data protection, security, explainability, model risk management, and responsible AI controls.
Experience in consulting, client delivery, solution discovery, proposal development, or pre-sales.
Culture & Benefits
Regular employment with a hybrid work mode in Singapore.
Work includes responsible AI, security, privacy, model governance, and regulatory requirements throughout the solution lifecycle.
hirify.global emphasizes diverse, inclusive, and equitable teams and encourages applications from candidates who may not match every qualification.
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