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Senior Data Scientist / Machine Learning Engineer
Отличная вакансия в крупной международной компании с возможностью удаленной работы и сильным социальным пакетом. Работа с известными мировыми брендами и современным стеком технологий (MLOps, Cloud) обеспечивает высокий потенциал для профессионального роста.
Сложность вакансии
Роль требует не только глубоких знаний в области Data Science, но и навыков инженерии (MLOps), включая опыт работы с Kubernetes и вывод моделей в продакшн. Высокий уровень ответственности за полный цикл разработки и свободный английский делают позицию сложной для кандидатов без серьезного практического опыта.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior уровня в Бразилии при работе на международную компанию рыночные оценки составляют от 18 000 до 30 000 BRL в месяц (или эквивалент в USD). Предлагаемый пакет бонусов (медстраховка, ваучеры) является стандартным и привлекательным для данного региона.
Сопроводительное письмо
I am writing to express my interest in the Senior Data Scientist / Machine Learning Engineer position at TELUS Digital. With a strong background in developing and deploying machine learning models into production environments, I am excited about the opportunity to contribute to a team that delivers transformative digital experiences for global brands like FOX and HBO.
Throughout my career, I have gained extensive experience with Python, TensorFlow, and scikit-learn, as well as containerization tools like Kubernetes and MLFlow. I have a proven track record of taking ML projects from initial scoping and data exploration all the way to production (PROD), which aligns perfectly with your requirement for end-to-end software development experience. I am particularly drawn to TELUS Digital's agile environment and its commitment to engineering excellence.
I am confident that my technical expertise in large-scale modeling and my proactive approach to problem-solving will allow me to make an immediate impact on your Data & AI team. I look forward to the possibility of discussing how my skills can support TELUS Digital’s mission of driving innovation at scale.
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Описание вакансии
Data Scientist / ML Engineer
Who We Are
Welcome to TELUS Digital— where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location and Flexibility
This role is fully remote for candidates based in Brazil. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.
The Opportunity
As a Data Scientist / Machine Learning Engineer on our team, you'll design, develop, and deliver machine learning solutions, decipher loosely defined problems using complex datasets, and determine appropriate analytical and modeling techniques. You'll analyze structured and unstructured data, establish automated processes for large-scale modeling, perform exploratory analysis, and collaborate with peers on data acquisition and exploration, demonstrating a strong sense of ownership and urgency.
Responsibilities
- Work on all aspects of the design, development and delivery of machine learning enabled solutions for our clients;
- Come up with solutions to loosely defined business problems by leveraging pattern detection over complex datasets across multiple platforms;
- Establish efficient, automated processes for large-scale modeling;
- Become part of a highly skilled and geographically distributed team;
- Collaborate with peers on problem definitions, data acquisition, data exploration, visualization as well as building the tools that support this process;
- Strong sense of ownership, urgency and drive.
Qualifications
- Relevant experience in data science/ machine learning development
- Bachelor and/or Master degree in Statistics, Mathematics, Physics, Computer Science or other related subject.
- Proficiency in Python.
- Experience with machine learning frameworks (like Keras, TensorFlow, or PyTorch) and libraries (like scikit-learn).
- Strong understanding of machine learning algorithms, processes, tools and platforms.
- Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.
- Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
- Ability to work on distributed cloud platforms
- Fluent English
Bonus Points:
- Experience with container management and machine learning deployment frameworks, such as Kubernetes, Kubeflow and MLFlow.
- Software development experience from scoping, requirements design, development, integration, testing, go live to PROD (vs internal research work)
Why TELUS Digital?
At TELUS Digital, you’ll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.
We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.
In addition to being part of an international and innovative consultancy company, you will have:
- A Global Innovation Hub: Be part of an international consultancy at the forefront of technology
- Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life
- Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions
- Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market
- Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path
- Global Exposure: Embrace optional international travel opportunities to broaden your horizons
Some of our benefits:
- Health and dental plan
- Life insurance
- Monthly voucher for meals, culture, education, health and mobility
- Child care assistance and more!
Equal Opportunity Employer
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.
For more information on how we use your information, see our Privacy Policy.
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Навыки
- Agile
- Python
- PyTorch
- Machine Learning
- Statistics
- Kubernetes
- DevOps
- Scikit-learn
- TensorFlow
- Kubeflow
- MLflow
- Cloud Computing
- Keras
Возможные вопросы на собеседовании
Вакансия подчеркивает важность вывода моделей в PROD, а не просто проведение исследований.
Расскажите о вашем опыте развертывания ML-моделей в продакшн: с какими основными трудностями вы сталкивались при интеграции?
В требованиях указаны Kubernetes, Kubeflow и MLFlow.
Как вы используете MLFlow или аналогичные инструменты для управления жизненным циклом моделей и обеспечения воспроизводимости экспериментов?
Работа предполагает решение слабо определенных бизнес-задач.
Опишите случай, когда вам пришлось работать с нечетко сформулированной бизнес-проблемой. Как вы перевели её на язык данных и выбрали метрики успеха?
Упоминается работа с большими и сложными наборами данных.
Какие методы оптимизации производительности вы применяете при обучении моделей на крупномасштабных распределенных наборах данных?
Компания работает по методологии Agile в распределенных командах.
Как вы организуете совместную работу над кодом и данными в географически распределенной команде, чтобы поддерживать высокий темп разработки?
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