
Senior Big Data Engineer
2 weeks ago
Join a dynamic team focused on developing tools and analytics to monitor and improve video streaming quality for a leading media product. The role involves implementing anomaly detection algorithms and working with cutting-edge distributed computing technologies.
Note
: The position requires overlap with US PST time zone (9 AM–12 PM PST).
Responsibilities
- Implement anomaly detection solutions using existing libraries
- Generate synthetic data to test models
- Validate accuracy and robustness of anomaly detection algorithms
- Collaborate with team members on improving streaming data processing
Requirements
- Proficiency in Python
- Experience with stream processing frameworks, ideally PyFlink
- Familiarity with distributed computing frameworks such as Ray
- Ability to work during overlapping hours with US PST teams (9 AM–12 PM PST)
Nice to have
- Prior experience in video streaming quality or analytics
- Knowledge of anomaly detection methodologies
- Experience working on projects with minimal legacy code and a focus on innovation
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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