
Machine Learning Engineer
1 week ago
Getting onboard Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities:
Razer's analytics & insights team is growing and we are looking for a machine learning engineer with 1 to 3 years of experience in designing and developing machine learning systems to join us.
- Perform extract, transform, load operations from multiple data sources.
- Design, build, test, validate, and deploy machine learning systems based on requirements to productionize models for product development, marketing campaigns and business strategies.
- Develop processes and tools to monitor and analyze data quality and model performance.
- Build data platform tools for stakeholders and team members for data visualization, catalog, and observability
Pre-Requisites:
- A drive to learn and master new technologies and techniques.
- Excellent written and verbal communication skills for coordinating across teams.
- Experience in programming languages such as Python, SQL.
- Knowledge of machine learning data structures and modeling, software architecture, libraries and frameworks to create data science products that accomplishes outlined goals.
- Experience using orchestration tools like Airflow or Prefect, distributed computing framework like Spark or Dask.
- Experience visualizing/presenting data for stakeholders using: PowerBI, Tableau.
- Experience on working with Enterprise level data platform and product would be a plus
- Has a Bachelor or Masters degree in Computer Science, Statistics, Mathematics or another quantitative field.
Are you game?
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