Senior Machine Learning Engineer

Overview

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