IND Senior Software Engineer

IND Senior Software Engineer - GCC123 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Key Responsibilities M odel Monitoring & Observability • Collaborate with Data Scientists to onboard models into monitoring systems (e.g., MHM database) and maintain configuration files for drift and performance checks. • Support retraining workflows when drift or degradation is detected. • Implement monitoring frameworks to track data drift, training-serving skew, and model performance metrics in production environments. • Utilize observability tools like Arize to set up monitors for accuracy, precision, recall, and other KPIs. • Configure automated alerts for anomalies in input/output distributions and performance degradation. Data Quality Assurance • Perform QC checks on incoming data to validate integrity and completeness before model scoring. • Develop pipelines for continuous validation of data sources and ensure compliance with quality standards. Performance Evaluation • Monitor KPIs such as accuracy, precision, recall, and fairness across demographic slices. • Conduct root-cause analysis for performance degradation and recommend retraining strategies. Infrastructure & Automation • Build and maintain CI/CD pipelines for deploying monitoring solutions and model updates. • Leverage cloud technologies for scalable monitoring and orchestration. Documentation & Reporting • Maintain detailed logs of monitoring activities, thresholds, and alerts. • Provide periodic reports on model health, including drift metrics and performance trends. Required Skills & Experience : • Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related field; 5+ years of professional experience with a Bachelor’s degree, or 3+ years of experience accepted with an advanced engineering degree combined with applied academic, internship, or hands‑on project experience focused on machine learning, GenAI, or full‑stack software development. • 3+ years of experience collaborating with engineering leads and data science teams on the design, development, and scaling of machine learning systems, with a focus on reliability, scalability, and security. • 4+ years of hands‑on experience working with public cloud platforms such as Google Cloud Platform, AWS, and/or Azure to deploy, operate, and scale ML workloads. • 2+ years of hands‑on experience building Infrastructure as Code (IaC) using tools such as Terraform to support ML environments and pipelines. • 5+ years of software development experience using programming languages such as Python, Java, or equivalent object‑oriented or scripting languages, including production‑grade ML or data applications. • 3+ years of experience working with machine learning and AI frameworks or platforms such as TensorFlow, scikit‑learn, Anaconda, SageMaker, Vertex AI, or Agentic AI tooling. • 3+ years of experience understanding model drift and data drift concepts and contributing to the design and implementation of monitoring, validation, and retraining strategies for ML and AI systems. • 3+ years of working knowledge of CI/CD and MLOps practices, including automated testing, model validation, automated deployments, and integration pipelines. • 3+ years of experience working in agile development environments, with SAFe experience required. • 4+ years of experience collaborating and partnering with business leaders, engineering teams, and data science stakeholders to deliver machine learning solutions aligned to business outcomes. • Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to diverse audiences. • Familiarity with agentic productivity and AI developer tools such as Claude Code, Gemini CLI, OpenAI Codex, or similar tools is a plus. • Experience enabling or supporting enterprise AI services such as Gemini Enterprise, Amazon Q, Microsoft Copilot, or similar platforms is a plus. • Strong analytical, critical thinking, and problem‑solving abilities, with a demonstrated willingness to challenge the status quo, take ownership, and drive innovation and continuous improvement in AI platform development. • Ability to work both independently and collaboratively in a fast‑paced, agile environment, demonstrating accountability, initiative, and a bias for action. Nice to Have • Understanding of Agile framework is a plus • Experience leveraging Gen AI tools to accelerate insight generation About Us | Our Culture | What It’s Like to Work Here