Software Engineer

A.P. Moller - Maersk

Machine Learning Engineer at Maersk focusing on AI-driven capabilities for global network automation. Collaborating with global stakeholders to develop autonomous network solutions.

Posted 6/17/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureElasticSearchGrafanaGRPCJavaNeo4jNoSQLPrometheusPySparkPythonScala

About the role

Key responsibilities & impact

Design and run AI-driven capabilities for our Global Network Automation stack
Build intelligent systems for alarm correlation to zero-touch remediation
Bridge massive network telemetry datasets and actionable business value
Build network monitoring solutions through Generative AI and Real-time Stream Processing
Implementing Amazon SageMaker for model lifecycle management
Collaborate with Network SMEs to identify AI opportunities in alarm fatigue reduction, root cause analysis, and operational summarization
Deploy and monitor models in production using SageMaker.

Requirements

What you’ll need

4+ years of experience in software/data engineering
Strong proficiency in Pyspark, Apache Flink, and Databricks
Hands-on experience with Amazon SageMaker for model training and deployment
Advanced knowledge of the Grafana Stack (Grafana, Prometheus, Alloy)
Expert-level Python and familiarity with Java/Scala for streaming pipelines
Understanding of network protocols (SNMP, Syslog, gNMI/gRPC) and telemetry formats
Expertise in AWS/Azure infrastructure and building GitHub Actions or GitLab CI pipelines for ML model deployments
Experience with Time-Series databases and NoSQL (ClickHouse, Elasticsearch, or Neo4j).

Benefits

Comp & perks

Joining Maersk will embark you on a transformational journey.

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Hard Skills & Tools

PysparkApache FlinkDatabricksAmazon SageMakerPythonJavaScalaGrafanaPrometheusAlloy