DevOps Engineer
Ericsson
Join our Team
About this opportunity:
The A&AI (SL IT & ADM) team is currently seeking a versatile and motivated Senior DevOps Engineer (with expertise in Kubernetes and Cloud Infrastructure) to join the AI/ML team. This role will be pivotal in managing multiple platforms and systems, focusing on Kubernetes, ELK/Opensearch, and various DevOps tools to ensure seamless data flow for our machine learning and data science initiatives.
What you will do:
• Deploy, manage, and optimize Kubernetes clusters specifically tailored for AI/ML workloads, ensuring optimal resource allocation and scalability across different network configurations.
• Develop and maintain CI/CD pipelines tailored for continuous training and deployment of machine learning models, integrating tools like Kubeflow, MLflow, ArgoFlow or TensorFlow Extended (TFX) etc.
• Collaborate with data scientists to oversee the deployment of machine learning models and set up monitoring systems to track their performance and health in production.
• Design and implement data pipelines for large-scale data ingestion, processing, and analytics essential for machine learning models, utilizing distributed storage and processing technologies such as Hadoop, Spark, and Kafka.
• Monitor, analyse, and optimize the performance of AI/ML applications and infrastructure, focusing on reducing latency and increasing throughput for model training and inference.
The skills you bring:
• Extensive experience with Kubernetes and cloud services (AWS, Azure, GCP, private cloud) with a focus on deploying and managing AI/ML environments.
• Strong proficiency in scripting and automation using languages like Python, Bash, Ansible and HasiCorp Terraform
• In-depth knowledge of data pipeline and workflow management tools, distributed data processing (Hadoop, Spark), and messaging systems (Kafka, RabbitMQ).
• Expertise in implementing CI/CD pipelines, infrastructure as code (IaC), and configuration management tools.
• Familiarity with security standards and data protection regulations relevant to AI/ML projects.
• Proven ability to design and maintain reliable and scalable infrastructure tailored for AI/ML workloads.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop.
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.