Staff AI Ops Engineer
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Job Location:
Monthly Salary:
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description
Calix is seeking a highly skilled Staff AI Ops Engineer to join our cutting-edge AI/ML this role you will be responsible for building scaling and maintaining the infrastructure that powers our machine learning and generative AI applications. You will work closely with data scientists ML engineers and software developers to ensure our ML/AI systems are robust efficient and production ready.
Key Responsibilities:
- Lead the implementation and maintenance of maintain scalable infrastructure for ML and GenAI applications.
- Oversee DevOps practices including the design and management of CI/CD pipelines for AI model deployments
- Manage container orchestration and scaling using Kubernetes ensuring high availability and security in production environments
- Scale compute resources across CPU/GPU architectures to meet performance requirements
- Implement container orchestration with Kubernetes
- Architect and optimize cloud resources on GCP for ML training and inference
- Setup and maintain runtime frameworks and job management systems (Airflow KubeFlow MLflow etc.)
- Establish monitoring logging and alerting for systems observability
- Optimize system performance and resource utilization for cost effciency
- Develop and enforce AIOps best practices across the organization
Qualifications:
- Bachelors degree in computer science Information Technology or a related field (or equivalent experience).
- 8 years of overall software engineering experience
- 5 years of focused experience in DevOps/AIOps or similar ML infrastructure roles
- Strong experience with containerization and orchestration using Docker and Kubernetes
- Demonstrated expertise in cloud infrastructure management preferably on GCP
- proficiency with workflow management such as Airflow & Kubeflow
- Strong CI/CD expertise with experience implementing automated testing and deployment pipelines
- Experience with scaling distributed compute architectures utilizing various accelerators (CPU/GPU)
- Solid understanding of system performance optimization techniques
- Experience implementing comprehensive observability solutions for complex systems
- Knowledge of monitoring and logging tools (Prometheus Grafana ELK stack).
- Strong proficiency in Python
- Proficient in at least one of the following performance-oriented programming languages: C C Go Rust.
- Familiarity with ML frameworks such as PyTorch and ML platforms like Vertex AI
- Excellent problem-solving skills and ability to work independently.
- Strong communication skills and ability to work effectively in cross-functional teams
Location
India (Flexible hybrid work model - work from Bangalore office for 20 days in a quarter
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Calix is a leading provider of cloud and software platforms, systems, and services for internet service providers. Partner with Calix and grow your business.
