Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко охватывает весь цикл ML-разработки и использует современную облачную платформу, но в консалтинге проекты и приоритеты могут меняться.
?Работа на проектах
Современный стек
Понятные задачи
?Нужен шведский
Отпуск и велнес
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI Data Scientist (Azure/Databricks): Developing machine learning solutions for early risk detection and scalable project analytics with an accent on end-to-end data science, predictive modeling, and Azure-based machine learning foundations. Focus on building data pipelines, evaluating proofs of concept, transitioning solutions into production, and ensuring model reliability and scalability.
Location: Solna/Stockholm, Sweden; flexible hybrid working model
Company
hirify.global is a Swedish IT consulting firm delivering IT solutions, software development, technology teams, and recruitment services across Sweden.
What you will do
Develop machine learning solutions for early risk detection, proactive decision-making, and measurable business value.
Translate business challenges and processes into indicators, predictive models, business logic, visualizations, and actionable insights.
Design and deliver end-to-end data science solutions, including data pipelines, model development, deployment, and evaluation.
Build proofs of concept for AI and machine learning use cases and support successful solutions through transition to production.
Contribute to a scalable machine learning platform in Microsoft Azure and Databricks, including cloud infrastructure, data pipelines, and CI/CD.
Collaborate with business stakeholders and data and analytics teams while ensuring data quality, model reliability, scalability, and maintainability.
Requirements
Academic degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
Proven experience as a Data Scientist applying machine learning to real-world business problems.
Strong programming skills in Python and proficiency in SQL.
Experience with cloud platforms, preferably Microsoft Azure and Databricks.
Good understanding of databases, data warehouses, and data lakes.
Experience with independent data exploration, data validation, and visualization.
Ability to translate business requirements into analytical solutions and communicate findings to stakeholders.
Understanding of the machine learning lifecycle from experimentation and model development through deployment.
Professional proficiency in both Swedish and English, plus strong analytical and problem-solving skills and the ability to work independently and collaboratively.
Culture & Benefits
Dynamic and innovative workplace focused on advancements in robotic technologies.
Collaboration with cross-functional teams on meaningful projects.
Competitive compensation and comprehensive benefits package.
Supportive culture with continuous learning, growth, and professional development.
Flexible hybrid work model and 25 days of annual leave.
Annual wellness allowance of 3,500 SEK.
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