Senior Machine Learning Engineer

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering · Software Engineering

In short

Ericsson is seeking a Senior Machine Learning Engineer in Bangalore, Karnataka, India to design, build, and maintain end-to-end ML pipelines and deploy models as scalable microservices on AWS. This role requires strong Python skills, experience with ML frameworks, AWS services, MLOps tools, and Infrastructure as Code.

Responsibilities

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.

Requirements

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.

Desired Qualifications

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.

Skills

PythonTensorFlowPyTorchScikit-learnSageMakerLambdaECSEKSCloudWatchS3IAMFastAPIFlaskgRPCTerraformDockerKubernetesPrometheusGrafanaEvidently AIAWS CloudFormationCDKServerless FrameworkArgo WorkflowsAPI GatewaysKafkaSQS

#ML Engineering#Software Engineering#DevOps#Machine Learning#Python#TensorFlow#PyTorch#Scikit-learn#AWS#SageMaker#Lambda#ECS#EKS#CloudWatch#S3#IAM#FastAPI#Flask#gRPC#Terraform#Infrastructure as Code#Docker#Kubernetes#CI/CD#Model Deployment#Monitoring#Observability#Prometheus#Grafana#Evidently AI#CDK#Serverless Framework#Argo Workflows#API Gateways#Kafka#SQS#AIOps#Telecom#Enterprise Networking

About Ericsson

Pioneering technology for connecting billions of people worldwide

Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible

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