Design, deploy, and operate MLOps infrastructure: build CI/CD pipelines, containerize and run microservices on Kubernetes, monitor systems, enforce security best practices, automate operations, and troubleshoot production issues while collaborating with development teams.
Grow with us
About this opportunity:
It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G networks with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are expanding the Ericsson MLOps Engineering Unit with tech savvy developers with right attitude and skillset.
MLOps is an iterative process for building, deploying, operationalizing, and observing AI/ML systems. MLOps aim is to manage the end-to-end life cycle of AI/ML models through all the phases, experimentation, development, deployment, model performance monitoring and re-training and, when needed, re-design and re-architecture to keep models operating in optimal conditions in production environments. A MLOps platform provides services and components to assist and guide organizations through this iterative process. MLOps platform components are designed to overcome the challenges to develop and operate AI/ML systems at industrial scale on production environments.
Ericsson is now looking for DevOps Engineer to expand its MLOps Engineering Development team based in Chennai.
You will do:
You will bring:
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Chennai
Req ID: 781091
About this opportunity:
It will be practically impossible for human brains to understand how to run and optimize next generation of wireless networks, i.e., 5G networks with distributed edge compute, that will drive economic and social transformation for all aspects of society. Machine Learning (ML) and other Artificial Intelligence (AI) technologies will be vital for us to handle this opportunity. We are expanding the Ericsson MLOps Engineering Unit with tech savvy developers with right attitude and skillset.
MLOps is an iterative process for building, deploying, operationalizing, and observing AI/ML systems. MLOps aim is to manage the end-to-end life cycle of AI/ML models through all the phases, experimentation, development, deployment, model performance monitoring and re-training and, when needed, re-design and re-architecture to keep models operating in optimal conditions in production environments. A MLOps platform provides services and components to assist and guide organizations through this iterative process. MLOps platform components are designed to overcome the challenges to develop and operate AI/ML systems at industrial scale on production environments.
Ericsson is now looking for DevOps Engineer to expand its MLOps Engineering Development team based in Chennai.
You will do:
- Experience with a orchestration tool like Kubernetes (mandatory), service mesh & microservices etc.
- Experience in containerisation and running them on a Kubernetes platform.
- Experience in managing deployments using Helm, Helmfile.
- Experience in Infrastructure Administration (installation, upgrade, configuration, maintenance, troubleshooting, etc)
- Ability to use a wide variety of open source technologies and cloud services.
- Should be able to write scripts in Python, Shell Scripting and Groovy.
- Experience with monitoring & alerting platforms like Prometheus and log analysis tool like ELK.
- Experience in deploying containerised Microservices, NoSQL and RDBMS datastores on Kubernetes platform
- Familiarity with security best practices, different security vulnerability tools, securing a both bare metal and cloud infrastructure.
- Develop policies, guidelines , standards and best practices around CI/CD for developers to work on.
- Understanding scalability and best practice
- Create and maintain scalable, reliable, consistent and repeatable systems.
- Work closely with development to deploy new software and improve existing systems.
- Be an excellent problem solver, and willing to roll up your sleeves to tackle any issue.
You will bring:
- Bachelors in Computer Science, Electrical Engineering or related disciplines from any of the reputed institutes. First Class, preferably with Distinction.
- Applied experience: 4+ years of DevOps experience with strong CI/CD and Version control system knowledge in a cloud native environment and an overall industry experience of about 4+ years.
- Strong knowledge of Kubernetes, Helm, Helmfile and Docker, containerization.
- Experience with modern distributed systems and tooling, for example, Prometheus, Ansible, Kubernetes, Helm, Vault, CI/CD systems, JFrog Artifactory.
- Strong hands-on experience on creating and managing CI/CD pipeline with technologies such as: Jenkins, GitLab runner, spinnaker.
- Proven experience creating medium to complex CI/CD pipelines from scratch.
- Strong scripting skills - Python, Bash and Groovy for automation. Experience with Infrastructure-as-code and SRE ways-of-working
- Administration experience with source control systems like Git, Gerrit, GitLab.
- Strong working experience with Linux Systems Administration and Troubleshooting. Good knowledge of Linux internals.
- Knowledge of Networking: DNS, NAT configurations, firewall, port mappings etc.
- Exposure with large scale systems, for example reliability/HA, deployment, operations, testing, and trouble-shooting.
- Experience with usage/integration of public cloud services, for example, identity and access management, key management, storage systems, CPU/GPU, private/virtual networking, and Kubernetes services.
- Knowledge on Terraform, Golang is a plus.
- Knowledge in MLOps Platforms like SageMaker, KubeFlow, MLFlow is a plus.
- Excellent troubleshooting skills.
- Awareness of ITIL/ITSM methodologies for operations and service delivery
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Chennai
Req ID: 781091
Top Skills
Kubernetes,Service Mesh,Microservices,Docker,Helm,Helmfile,Python,Shell,Groovy,Prometheus,Elk,Nosql,Rdbms,Ansible,Vault,Jfrog Artifactory,Jenkins,Gitlab Runner,Spinnaker,Git,Gerrit,Gitlab,Linux,Terraform,Golang,Sagemaker,Kubeflow,Mlflow
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