MLOps Engineer

Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies 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 Requirements Strong working knowledge of SQL (must-have) with 3+ years of experience Basic to intermediate PySpark / Python Understanding of data pipelines and distributed data processing Familiarity with Azure Data Factory (ADF) and Databricks Basic understanding of machine learning workflows and model outputs Ability to perform data analysis and debugging using data Exposure to CI/CD processes and Azure DevOps Nice to have Understanding of forecasting concepts (FA, Bias, error metrics, etc.) Experience with data validation, anomaly detection, or RCA analysis Familiarity with ML Ops or model monitoring concepts Ability to interpret model features and outputs (basic explainability) Strong problem-solving mindset and attention to detail 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.