Responsibilities

• Perform in-depth data analysis to identify trends, inefficiencies, and bottlenecks in MRO and supply chain operations.
• Design, develop, test, and validate machine learning models to predict operational issues using historical data.
• Build and optimize data models using AWS services such as SageMaker, Glue, Lambda, S3, and Redshift.
• Evaluate model performance using metrics like accuracy, precision, recall, F1-score, MSE, and R-squared.
• Configure monitoring, logging, and alerting tools (e.g., CloudWatch, SNS) to ensure robust operations.
• Write modular, secure code that passes static and dynamic InfoSec vulnerability scans.
• Automate key processes, including deployments, certificate renewals, infrastructure updates, and failure notifications.
• Document detailed Runbooks covering deployed models, associated cloud resources, and code assets.
• Collaborate with cross-functional teams to ensure alignment of model outputs with business goals.
• Support testing, validation, and continuous improvement of data pipelines and ML models.

Required Skills

• Proficiency in AWS services and machine learning frameworks.
• Strong background in data engineering, analytics, and data modeling.
• Hands-on experience with Tableau for data visualization.
• Familiarity with Azure DevOps for project tracking and CI/CD workflows.
• Solid programming skills in Python or similar languages.
• Excellent analytical and problem-solving skills.
• Strong documentation and communication abilities.

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