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Senior Machine Learning Engineer

в Grid Dynamics

от 200 000 ₽/мес на руки

📍 Санкт-Петербург (м. Петроградская)Полная удалёнка

Специализация

Data Science / Machine Learning

Уровень

Senior

Grid Dynamics is the engineering services company known for transformative, mission-critical cloud solutions for retail, finance and technology sectors. They focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.

A project for one of the largest players in the game industry in the US. The customer is an American video game publisher based in California. The team is doing DS and ML for Sales predictions for the whole year. Their project team is 1MLOPS and 3 DS. AWS ecosystem.

Stack

AWSDockerKubernetes

Why we are recommending

Opportunity to work on bleeding-edge projects.
Opportunity for long business trips to the US and possibility for relocation.

Responsibilities

Ability to lead the project.
Proactively educating the client team and bringing best practices.
Communicate with business stakeholders to clarify their requirements and present the teamwork results.

Requirements

5+ years of experience developing and deploying machine learning systems into production.
Solid experience with AWS ecosystem.
Strong experience working with Airflow, SageMaker, Snowflake.
University or advanced degree in engineering, computer science, mathematics, or a related field.
Strong knowledge of data pipeline and workflow management tools.
Relevant working experience with Docker and Kubernetes is a plus.
Experience in working across different global cultures a plus.
Good communication skills and interpersonal skills.

They offer

Opportunity to work on bleeding-edge projects.
Work with a highly motivated and dedicated team.
Flexible schedule.
Medical insurance.
Benefits program.
Corporate social events.
Professional development opportunities.

Ольга Панина Recruitment Manager

О компании Grid Dynamics

Сфера

Заказная разработка / Аутсорсинг

Инвестиции

$10-25М

Размер

1001+

Grid Dynamics is an engineering services company known for transformative, mission-critical cloud solutions for the retail, finance, and technology sectors. They have architected some of the busiest e-commerce services on the Internet, and have never had an outage during the peak season. Founded in 2006 and headquartered in San Ramon, California with offices throughout the US and Eastern Europe, they focus on big data analytics, scalable omnichannel services, DevOps, and cloud enablement.