Machine Learning Engineer

Total Experience - 4 Years - 6 Years

Notice Period - Immediate - 15 Days

Location- Bangalore/Hyderabad/Chennai

Key responsibilities

• Support and monitor weekend batch loads, ensuring timely and accurate execution
• Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies
• Translate findings into clear insights and communicate them effectively to leads and stakeholders
• Monitor scheduled jobs and data pipelines to ensure successful execution
• Validate dashboard outputs and analyze data trends, anomalies, and inconsistencies
• Support basic model validation and output analysis (e.g., forecast vs actuals, error trends)
• Write and optimize SQL queries and PySpark transformations for debugging and analysis
• Identify patterns in recurring failures and recommend improvements
• Work with data science and engineering teams to debug model or data-related issues
• Escalate issues when required, with clear analysis and supporting insights
• Monitor workflows in Azure Data Factory (ADF) and Databricks
• Contribute to CI/CD validation and release monitoring
• Maintain documentation for issues, RCA findings, and fixes

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, India, Central and Eastern Europe.

To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.