- Страна
- Канада
- Зарплата
- 120 000 CA$ – 130 000 CA$
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Senior Data Scientist
Стабильная компания с 25-летней историей, четкий стек технологий (LLM, Generative AI) и прозрачная вилка зарплаты. Отличные социальные льготы, включая питание и расширенную страховку, делают предложение очень привлекательным.
Сложность вакансии
Роль требует глубоких знаний в области NLP и LLM, а также опыта работы с большими данными в корпоративной среде. Высокий уровень ответственности подразумевает не только техническую экспертизу, но и наставничество над младшими специалистами.
Анализ зарплаты
Предложенная зарплата в 120,000–130,000 CAD находится в пределах рыночной нормы для Ванкувера, однако для уровня Senior в сфере AI/ML это скорее нижняя и средняя граница. Крупные технологические компании в этом регионе могут предлагать до 150,000 CAD и выше за аналогичный опыт.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Scientist position at Global Relay. With over five years of experience in developing and deploying machine learning models, I have a proven track record of handling large-scale data sets and implementing advanced NLP and LLM solutions. My background in Python and deep learning frameworks like PyTorch and TensorFlow aligns perfectly with your team's technical stack.
In my previous roles, I have successfully led projects from business requirement analysis to full-scale production deployment. I am particularly drawn to Global Relay's focus on enterprise information archiving and the opportunity to work on complex problems involving machine translation and transcription. Furthermore, I have extensive experience mentoring junior scientists and fostering a culture of continuous improvement, which I am eager to bring to your agile AI department.
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Описание вакансии
Who we are:
For over 25 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with stringent regulations.
Though we offer competitive compensation and benefits and all the other perks one would expect from an established company, we are not your typical technology company. Global Relay is a career-building company. A place for big ideas. New challenges. Groundbreaking innovation. It’s a place where you can genuinely make an impact – and be recognized for it.
We believe great businesses thrive on diversity, inclusion, and the contributions of all employees. To that end, we recruit candidates from different backgrounds and foster a work environment that encourages employees to collaborate and learn from each other, completely free of barriers.
Your role:
As a Senior Data Scientist you will be building artificial intelligence and machine learning solutions for Global Relay’s customers. Our solutions are developed by small, focused agile teams of data scientist and developers. You will be applying a wide variety of models to very large electronic communication archives in order to classify and understand communication content. You'll have the opportunity to work in machine translation, transcription, natural language processing, LLMs (large language models), and/or generative AI. You also get to tackle interesting and engaging problems related to scalability and high availability in big data environments.
This is an opportunity to work alongside some of the best data scientist in Vancouver and apply your craft in an environment that encourages creative thinking and collaboration.
Your job:
- Work closely with other data scientists and developers in building and deploying various machine learning models
- Execute all steps in the data science process from understanding business requirements to deploying models
- Produce reports detailing model performance
- Take initiative to identify and solve important problems, coordinating with others on cross-cutting technical issues
- Participate in design review, code review, sprint planning, and other Agile artifacts
- Collaborate with Product Management on user story generation and refinement
- Contribute to knowledge sharing activities with colleagues
- Mentor junior and intermediate data scientist via pairing and reviews
- Instill a spirit of continuous improvement in the team’s code, architecture, and processes
About you:
- 5+ years of experience with solving machine learning problems
- BSc in a STEM or Linguistics subject or equivalent work experience
- Experience working with very large data sets in an enterprise-wide application environment
- Experience with Python and Bash
- Experience with common machine learning libraries such as: PyTorch, Sklearn, TensorFlow, TensorRT and others
- Experience mentoring junior and intermediate data scientists
- Strong organizational and communication skills
Nice-to-haves:
- MSc in a STEM or Linguistics subject (considered 1 additional year of experience)
- PhD in a STEM or Linguistics subject (considered 2 additional year of experience)
- Data collection and cleaning experience
- Data engineering skills
- Experience with:
+ Acoustic or language models for speech recognition
+ Natural language processing models
+ Large language models
+ Kubernetes and micro services
+ Working in an agile development environment
Compensation:
Global Relay advertises the pay range for this role in compliance with British Columbia’s pay transparency laws. Individual pay rates are determined by evaluating factors such as expertise, skills, education, and professional background.
The range below reflects the expected annual base salary, which is only one element of our comprehensive total rewards package designed to reflect our company pay philosophy, culture and values. We aim to foster an inspiring work environment and support employees' work-life rhythms. We provide a comprehensive extended health benefits program, including virtual healthcare and a wellness allowance. Employees also receive annual allotted vacation days, which increase based on tenure. Other benefits include: Paid sick days, maternity/parental enhancement program, bonus, and an RRSP contribution matching program.
For Vancouver-based employees, we provide a subsidized meal program, courtesy of our talented in-house culinary team!
British Columbia - Base salary range
$120,000—$130,000 CAD
What you can expect:
At Global Relay, there’s no ceiling to what you can achieve. It’s the land of opportunity for the energetic, the intelligent, the driven. You’ll receive the mentoring, coaching, and support you need to reach your career goals. You’ll be part of a culture that breeds creativity and rewards perseverance and hard work. And you’ll be working alongside smart, talented individuals from diverse backgrounds, with complementary knowledge and skills.
Global Relay is an equal-opportunity employer committed to diversity, equity, and inclusion.
We seek to ensure reasonable adjustments, accommodations, and personal time are tailored to meet the unique needs of every individual.
To learn more about our business, culture, and community involvement, visit www.globalrelay.com.
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Навыки
- Python
- Bash
- PyTorch
- Scikit-learn
- TensorFlow
- TensorRT
- NLP
- LLM
- Generative AI
- Kubernetes
- Microservices
- Machine Translation
- Speech Recognition
- Big Data
- Agile
Возможные вопросы на собеседовании
Проверка опыта работы с основным стеком и понимания внутренней механики библиотек.
Расскажите о наиболее сложном проекте, где вы использовали PyTorch или TensorFlow для обработки текстовых данных. С какими проблемами производительности вы столкнулись?
Вакансия предполагает работу с архивами коммуникаций, что требует навыков NLP.
Как бы вы подошли к задаче классификации конфиденциальной информации в огромном массиве неструктурированных электронных писем?
Оценка опыта работы с современными технологиями, упомянутыми в описании.
Каков ваш опыт дообучения (fine-tuning) или развертывания Large Language Models (LLM) для специфических бизнес-задач?
Роль Senior предполагает лидерские качества.
Опишите случай, когда вы менторили менее опытного коллегу. Как вы подходите к процессу код-ревью и передаче знаний?
Работа с большими данными требует понимания инфраструктуры.
Как вы обеспечиваете масштабируемость и высокую доступность ваших ML-моделей при интеграции в микросервисную архитектуру с использованием Kubernetes?
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- Страна
- Канада
- Зарплата
- 120 000 CA$ – 130 000 CA$