Cloud engineer, data and AI in machine learning

Google; Warszawa; In loco; PLN 188.000 - 192.000; Tempo pieno

Vantaggi offerti da questo lavoro

15% бонус от результатов

Equity

Benefits

Descrizione del lavoro

Google Cloud Consulting Professional Services ищет инженера по машинному обучению в Польше (Варшава) для разработки и внедрения ML-решений, использования TensorFlow, DataFlow и Vertex AI. Вы будете работать с клиентами, менеджерами продуктов и инженерами, чтобы deliver продакшн-решения и обучать заказчиков.

Требуется опыт в ML, проектировании облачных решений и знание языков программирования. Поездки до 30% по региону, конкурентное вознаграждение и компенсационные бонусы.

Competenze

• Степень бакалавра в области информатики или эквивалентный практический опыт.
• Опыт построения решений машинного обучения и работы с техническими заказчиками.
• Опыт проектирования решений для облачных предприятий и сопровождения проектов до завершения.

Mansioni

• Разрабатывать и внедрять решения ML для бизнес-задач клиентов, используя TensorFlow, DataFlow и Vertex AI.
• Работать с клиентами для выявления возможностей применения ML и выезд на объекты для внедрения решений и проведения обучений.
• Оказывать поддержку внедрения продуктов Google Cloud через архитектурные рекомендации, миграцию данных, планирование мощности и устранение неполадок.
• Становиться техническим советником для клиентов и решать сложные задачи ML, обучать работе с признаками, валидацией данных и мониторингом моделей.
• Сотрудничать с заказчиками, партнёрами и командами Google для поставки готовых решений в продакшн.

Conoscenze

ML solutions

Cloud design

Programming languages

Formazione

Bachelor's degree in Computer Science or equivalent

Strumenti

TensorFlow

DataFlow

Vertex AI

PyTorch

XGBoost

Apache Beam

Hadoop

Spark

Descrizione del lavoro

Описание:

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

Задачи:

Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. Work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. Support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. Be a trusted technical advisor to customers and solve complex machine learning challenges. Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models. Work with Customers, Partners, and Google Product teams to deliver tailored solutions into production. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.

Требования:

• Bachelor's degree in Computer Science or equivalent practical experience.
• Experience building machine learning solutions and working with technical customers.
• Experience designing cloud enterprise solutions and supporting customer projects to completion.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Будет плюсом:

• Experience working with recommendation engines, data pipelines, or distributed machine learning;
• Experience with deep learning frameworks (e.g., TensorFlow, pyTorch, XGBoost);
• Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume);
• A solid understanding of the auxiliary practical concerns in production machine learning systems

Условия:

Poland: zł188000 - zł192000 (PLN) + 15% bonus target + equity + benefits