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9 дней назад

AI Scientist Co-op

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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