3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and build AI and machine learning applications using cloud AI services and generative AI models.
- Develop production-ready application pipelines for cloud and on-premises environments.
- Design and manage continuous integration and continuous deployment pipelines.
- Manage and automate cloud infrastructure using infrastructure as code.
- Implement scalable, secure AI/ML workflows and monitor and optimize model performance in production.
- Use containerization and orchestration technologies to support AI applications.
- Lead AI/ML solution implementation and coordinate cross-functional troubleshooting.
- Serve as a subject matter expert, contribute to team decisions, and mentor junior team members.
Requirements
- At least 5 years of experience, including strong experience with Microsoft Azure DevOps.
- Proficiency in Microsoft Azure DevOps, Infrastructure as Code, and GitLab CI/CD.
- Experience designing and managing CI/CD pipelines and cloud infrastructure automation.
- Knowledge of secure AI/ML workflows, containerization, orchestration, and production model monitoring.
- Knowledge of GitHub Actions, Microsoft Defender for DevOps, SAST/DAST security scanning, Azure Container Registry, AKS, Bicep or Terraform, compliance and audit logging, Azure Policy, and RBAC.
- 15 years of full-time education is required.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.