With the introduction of 5G and cloud, the role of IT Managed Services has evolved to become an enabler of new revenue opportunities, in addition to delivering efficient cloud and IT operations for service providers on their 5G journey.
Join us to understand how different technologies come together to build a best-in-class solution which has made Ericsson lead the 5G evolution. We will also explain how you can be part of this outstanding culture and advance your career while creating a global impact.• We believe in trust - we trust each other to do the right things!• Therefore, we believe in taking decisions as close to the product and technical expertise as possible.• We believe in creativity - trying new things and learning from our mistakes.• We believe in sharing our insights and helping one another to build an even better user plane.• We truly believe in happiness, we enjoy and feel passionate about what we do and value each other's technical competence deeply.
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.• Ensure compliance with data privacy regulations pertinent to AI/ML projects and implement security best practices for data protection, model privacy, and secure access controls.• Set up monitoring systems to track the health and performance of AI/ML models in production and implement logging systems to capture model behaviour and data quality issues.• Work closely with AI/ML researchers, data scientists, and software developers to understand requirements and deliver scalable infrastructure solutions, providing DevOps expertise in system design and operational challenges.• Lead infrastructure projects and mentor junior engineers and team members on best practices in DevOps, Kubernetes, cloud infrastructure, and AI/ML operations.• Utilize Apache Spark for big data processing tasks to prepare and transform datasets required for machine learning model training.• Implement and maintain the ELK stack (Elasticsearch, Logstash, Kibana) for logging and visualizing infrastructure and application metrics.• Develop dashboards in Grafana and Kibana for real-time monitoring of data pipelines and AI/ML workflows.• Design and implement robust AI/ML infrastructure using cloud services and Kubernetes to support machine learning operations (MLOps) and data processing workflows.
You will 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.• Excellent analytical, problem-solving, and communication skills.
Experience 5-8 Years
Location - Bangalore
Top Skills
What the Team is Saying
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day.
We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale.
Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient.
Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical.
Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term.
As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
