About this opportunity:
Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson's Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions.
What Will You Do:
Design, implement, and maintain data pipelines and ETL workflows for structured and unstructured data using scalable frameworks
Build and automate ML pipelines for model training, deployment, monitoring, and retraining using MLOps best practices.
Collaborate with data scientists to productionize ML models and ensure they meet performance, scalability, and reliability standards.
Develop and manage feature stores, data validation, and metadata tracking to support reproducible ML experiments.
Ensure high standards of code quality, documentation, and testing across all data and ML components.
Implement data governance, lineage, and security practices in collaboration with platform and compliance teams.
Monitor and optimize infrastructure costs and model inference performance.
Evaluate new tools and frameworks to continuously improve the data and ML engineering ecosystem.
Support debugging, performance tuning, and system maintenance for deployed models and pipelines
What will you Bring:
Strong proficiency in Python and SQL.
Hands-on experience with data orchestration and workflow tools (e.g., Airflow, Kubeflow, Prefect).
Solid understanding of machine learning model lifecycle, from experimentation to production deployment.
Experience with cloud platforms (prefer AWS) and managed ML services (e.g., SageMaker).
Knowledge of containerization and deployment technologies such as Docker and Kubernetes.
Familiarity with CI/CD pipelines and version control using Git.
Strong emphasis on code quality, modular design, and performance optimization.
Able to build and deploy AI models into production with focus on scaling, monitoring and performance.
Experience in automation and infrastructure management - AWS (EKS, S3, CloudWatch), Terraform, Infrastructure as Code (IaC), security and networking fundamentals
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Experience with real-time data streaming (Kafka, Flink) and data Lakehouse architectures
Knowledge of model monitoring and observability tools (Evidently AI, Prometheus, Grafana, etc.).
Exposure to feature engineering frameworks and data contracts.
Prior experience in telecom, enterprise AI, or AIOps domains is an advantage.
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) || Bangalore
Req ID: 775304
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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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.
