Perform outlier detection and root cause analysis for issues such as demand forecast drops or anomalies

Essential functions

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

Qualifications

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

Would be a plus

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

MLOps Engineer

Job Description

No Referrers Available