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Senior Machine Learning Engineer
in Grid Dynamics
from 200 000 ₽/month net
Technologies / Tools
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.
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.
About company Grid Dynamics
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.