Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка по AI/ML в крупном банке даёт практический опыт доведения моделей от исследований до внедрения, но доступна только студентам, а формат гибридной работы заранее не определён.
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Только для студентовСовременный стекОпыт внедренияИИ в финтехе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Scientist Co-op (AI/ML, Python, Databricks, Azure): Supporting the development, deployment, and operationalization of advanced analytics and AI/ML solutions for banking business problems with an accent on machine learning, generative AI, optimization, and real-world structured and unstructured datasets. Focus on researching analytical approaches, deploying models on Databricks and Azure Kubernetes Service, and translating data into actionable insights.
Location: Toronto, ON; hybrid work arrangement with the proportion of on-site and remote work discussed during the interview. Candidates must be legally eligible to work at the specified location and, where applicable, hold a valid work or study permit.
Company
hirify.global is a relationship-oriented bank applying advanced analytics, artificial intelligence, and machine learning to banking solutions.
What you will do
Support the development, deployment, and operationalization of advanced analytics and AI/ML solutions using statistics, machine learning, generative AI, and optimization techniques.
Explore analytical approaches, conduct research, and contribute to practical AI applications that solve business challenges.
Assist with deploying and supporting AI/ML solutions on Databricks and Azure Kubernetes Service, including application development activities.
Work with structured and unstructured datasets to help produce end-to-end solutions from experimentation through deployment.
Collaborate with technical teams and business stakeholders to understand needs and translate data into actionable insights.
Share ideas, learn best practices, and contribute to AI and machine learning use cases across the organization.
Requirements
Currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, Computer Engineering, Data Science, AI/ML, or a related field.
Available for an 8-month co-op term and returning to full-time studies.
Demonstrated academic or project experience with Python, SQL, and machine learning fundamentals.
Interest in deploying AI/ML solutions into production and supporting application development in a cloud environment.
Familiarity with or willingness to learn Databricks, Azure, Docker, Kubernetes, Azure Kubernetes Service, Spark, and Git.
Collaborative, detail-oriented, and curious problem-solving approach with an interest in teamwork and learning from others.
Nice to have
No additional optional qualifications specified.
Culture & Benefits
Hybrid work arrangement with details discussed during the interview.
Competitive compensation and banking benefits subject to program terms and conditions.
Wellbeing support, employee and family assistance programs, and a points-based recognition program.
Access to collaborative workspaces and technological tools for developing innovative client solutions.
Inclusive and accessible candidate and employee environment.
Hiring process
Applications are reviewed in October; interviews take place in October and November, with offers expected in November and December.
An attribute-based assessment and skills tests such as simulation, coding, and French proficiency may be required.
Submit a resume of no more than two pages, a cover letter of no more than one page, and the most recent unofficial transcript combined into one PDF.
Four- and eight-month opportunities are available, with multiple positions offered under the posting.
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