3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, automate, monitor, and optimize AI/ML infrastructure on Google Cloud Platform.
- Write, review, and debug code, scripts, and infrastructure-as-code for infrastructure automation, monitoring, and deployment tooling.
- Provision and configure Compute Engine, Google Kubernetes Engine, Vertex AI, Cloud Storage, networking, and security services.
- Support CI/CD and deployment automation for AI systems, models, and applications.
- Deploy and operate AI services, model-serving components, and data pipelines with attention to reliability, security, cost, and scalability.
- Monitor infrastructure and model-serving health using Cloud Monitoring and Cloud Logging, and troubleshoot compute, storage, networking, container, and application issues.
- Collaborate with data scientists, ML engineers, platform engineers, and architects to integrate AI models into enterprise systems.
- Document reusable patterns, configuration standards, and operational runbooks for GCP AI infrastructure.
Requirements
- A bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related engineering field is required.
- A minimum of 5 years of experience is stated for the role.
- At least 2 years of experience with AI/ML infrastructure, data platforms, model deployment pipelines, or cloud/platform engineering solutions is required.
- At least 2 years of proficiency in programming or scripting languages such as Python, Java, C++, Bash, or PowerShell is required.
- Experience with GCP AI infrastructure, CI/CD, infrastructure-as-code, containers, Kubernetes, workflow orchestration, and operational monitoring is required.
- Experience with accelerated compute, distributed training, containerized deployments, and model-serving workloads is required.
- Understanding of MLOps patterns including experiment tracking, model registries, deployment, monitoring, and rollback is required.
- Preferred qualifications include GCP certifications and familiarity with LLM infrastructure, vector databases, retrieval pipelines, GPU scheduling, model optimization, security controls, FinOps, incident management, and production support.
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.