Senior Machine Learning Engineer
Ericsson · Bengaluru · onsite · Posted 4d ago
About a minute. You'll make an account on the way through.
About this role
About this opportunity:
Ericsson Enterprise Wireless Solutions (BEWS) drives Ericsson's Enterprise Networking and Security business. Our portfolio covers wide area networks, local area networks, enterprise security, Private 5G networks and Secure Access Service Edge (SASE) solutions.
What Will You Do:
- Design, build and maintain end-to-end ML pipelines for data ingestion, model training, evaluation, deployment and monitoring.
- Deploy ML models as scalable microservices and APIs with high availability and low latency.
- Automate infrastructure provisioning using Terraform, AWS CloudFormation or similar tools.
- Build and manage CI/CD pipelines for model deployment, versioning and rollback.
- Integrate ML models into cloud-native architectures using AWS services such as SageMaker, EKS, Lambda, S3, ECS and CloudWatch.
- Work with DevOps and platform teams to improve consistency, observability and cost efficiency.
- Implement monitoring and alerting for model performance, data drift and system health.
- Develop reusable microservices, APIs and SDKs for ML model integration.
- Maintain strong standards for code quality, testing and documentation.
- Stay updated on developments in MLOps, cloud computing and distributed model serving.
- 5–8 years of experience in ML Engineering, Software Engineering or DevOps, with a focus on machine learning systems.
- Strong Python skills and experience with TensorFlow, PyTorch or Scikit-learn.
- Strong experience with AWS services including SageMaker, Lambda, ECS/EKS, CloudWatch, S3 and IAM.
- Experience deploying ML models into production using FastAPI, Flask, gRPC or similar frameworks.
- Hands-on experience with Terraform and Infrastructure as Code.
- Experience with Docker and Kubernetes.
- Good understanding of CI/CD pipelines, model registries and artifact management.
- Knowledge of model monitoring, logging and observability tools such as Prometheus, Grafana or Evidently AI.
- Strong software engineering practices including version control, modular design, automated testing and code reviews.
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- Experience with AWS CDK, Serverless Framework or Argo Workflows.
- Familiarity with API gateways, Kafka, SQS and event-driven systems.
- Exposure to A/B testing, canary and shadow deployments for ML models.
- Experience in AIOps, telecom or enterprise networking is an advantage.
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About Ericsson
Ericsson
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22.3k+
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150 years old
Stockholm, Sweden
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Why join Ericsson?
At Ericsson, youll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of whats possible. To build solutions never seen before to some of the worlds toughest problems. Youll be challenged, but you wont be alone. Youll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture 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 and Affirmative Action employer, learn more.
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