3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Lead the implementation of AI and machine learning solutions aligned with project goals and timelines.
- Design and manage production-ready CI/CD pipelines for cloud and on-premises applications.
- Develop applications and systems using AI tools, cloud AI services, and generative AI models.
- Manage infrastructure automation, containerization, orchestration, security scanning, compliance, and audit logging.
- Monitor and optimize AI model performance in production environments.
- Act as a subject matter expert, make team decisions, coordinate cross-functional troubleshooting, and provide mentoring and guidance.
Requirements
- Minimum 7.5 years of professional experience.
- At least five years of experience with Microsoft Azure DevOps.
- 15 years of full-time education.
- Proficiency with Microsoft Azure DevOps, Infrastructure as Code, and GitLab CI/CD.
- Strong experience designing and managing continuous integration and continuous deployment pipelines.
- In-depth knowledge of cloud infrastructure management and automation.
- Ability to implement scalable and secure AI/ML workflows in cloud environments.
- Familiarity with containerization and orchestration technologies.
- Knowledge of GitHub Actions, Microsoft Defender for DevOps, SAST/DAST security scanning, Azure Container Registry, AKS, Bicep or Terraform, Azure Policy, RBAC, compliance, and audit logging.
Benefits
- Position is based at the Bengaluru office.
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.