Intetics Benefits Overview

Designs and operates production machine learning systems for predictive customer lifetime value. Responsibilities include feature engineering, gradient-boosted and probabilistic modeling, calibration, identity resolution, model monitoring, drift detection, data pipelines, cloud-based ML workflows, API integrations, and software engineering practices such as testing, CI/CD, and deployment safeguards.

Conduct technical interviews for Power Platform specialists, assessing practical expertise in Power Apps, Power Automate, SharePoint Lists, Microsoft 365 integrations, security, and governance. Evaluate problem-solving, solution design, and business-requirement analysis skills. Provide structured candidate feedback, collaborate with recruiters on interview criteria, and refine technical assessments. The role also involves troubleshooting and maintaining Power Platform solutions, with interviewing or mentoring experience and Power BI knowledge preferred.

Designs and secures resilient AWS cloud infrastructure, assesses security controls, monitors logs and threats, performs vulnerability assessments, develops security policies and reports, implements disaster recovery procedures, protects sensitive data, and supports network and security issues. Requires extensive DevOps and cloud security experience, AWS expertise, Infrastructure as Code knowledge, autonomy, teamwork, and CET timezone availability.