Associate AI/ML Engineer
Optum India
Primary Responsibilities
- Support AI-Driven DevOps Delivery
- Contribute to DevOps implementation for AI platforms, focusing on automation, scalability, and system reliability
- Assist Core AI Ops & Operations Support
- Provide day-to-day operational support for AI/ML systems, ensuring system availability, performance, and stability
- Observability & Monitoring
- Build and maintain dashboards in Grafana, Dynatrace, and Splunk to monitor application health and performance
- Alerting & Incident Support
- Configure and maintain alerts, assist in incident detection, triage, and resolution to minimize downtime
- CI/CD Pipeline Support
- Develop and maintain CI/CD pipelines to enable automated build, test, and deployment processes
- Cloud & Infrastructure Support (Azure)
- Support Azure infrastructure, including basic management of compute, storage, and containerized workloads
- API & Integration Support
- Create and maintain Postman collections and assist with API testing and validation
- Incident Management Participation
- Participate in daily incident management, troubleshoot issues, and support root cause analysis
- War Room Support for Critical Incidents
- Assist in high-priority incident calls by providing technical analysis and updates
- Technical Troubleshooting
- Debug application and infrastructure issues with guidance, including code-level investigation when needed
- Governance & Compliance Support
- Follow AI governance practices and ensure operational activities meet compliance and quality standards.
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
Required Qualifications
- Undergraduate degree or equivalent experience
- 3+ years of experience in software engineering and experienced in building AI agents
- Experience with CI/CD pipeline development and automation
- Hands on AI experience
- Solid understanding of cloud platforms (Azure preferred) and distributed systems
- Proficiency in REST APIs, JSON, and YAML for integrations
- Working knowledge of SQL for data analysis and troubleshooting
- Solid foundation in object-oriented programming and code-level debugging
- Exposure to AI Ops concepts such as predictive monitoring and automated remediation
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