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Schneider Electric

Global energy management and automation provider

Expert AI Engineer

IT Service Desk & End User SupportConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • 5–10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.
  • Hands-on experience managing support across layers, from underlying processes to specific AI use cases and intelligent agents.
  • Strong proficiency in Python, debugging, and API frameworks such as FastAPI, Flask, and Django.
  • Experience with AWS services including EC2, Lambda, S3, SageMaker, and RDS, and Azure services including App Services, Functions, Azure ML, Storage, and AKS.
  • Experience with AI-native engineering tools and automated agentic evaluation frameworks.
  • Experience with CI/CD tools such as Azure DevOps, GitHub Actions, and Jenkins, and infrastructure as code.
  • Familiarity with containerization using Docker and Kubernetes, and microservices architecture.
  • Ability to work effectively in a multicultural environment, specifically collaborating with teams in Europe and Asia.
  • Strong leadership, mentoring, and team management capabilities.
  • Effective communication and stakeholder management skills.

Responsibilities

  • Lead, mentor, and guide a team of support engineers across L1, L2, and L3.
  • Collaborate with development teams across France and India to ensure smooth handovers and operational readiness.
  • Act as the primary escalation point for complex issues across applications, machine learning models, and cloud services.
  • Drive continuous improvement initiatives and establish best practices for operational excellence.
  • Manage the full lifecycle of issues for AI use cases serving internal business units and external clients.
  • Provide end-to-end support for Python-based APIs, microservices, AI/ML pipelines, and data processing systems.
  • Diagnose and resolve issues related to Python environments, dependencies, performance bottlenecks, and integrations.
  • Maintain high availability and optimal performance of production workloads.
  • Champion the use of AI-native engineering tools to automate support workflows and improve system observability.
  • Establish monitoring dashboards and alerts through Dynatrace, CloudWatch, Azure Monitor, or Application Insights.
  • Own the full lifecycle of incidents, from detection through root cause analysis and preventive measures.
  • Maintain and ensure adherence to service-level agreement commitments.

Desired Qualifications

  • Certifications such as AWS and Azure Administrator, or Azure/AWS Data/AI certifications.
  • Experience with MLOps tools such as MLflow, Kubeflow, SageMaker Pipelines, and Azure ML Pipelines.
  • Knowledge of DevSecOps, automation, and cost optimization best practices.
  • Experience with ITIL practices for incident, problem, and change management.

About the Company

Schneider Electric

Global energy management and automation provider

Schneider Electric is a global specialist in energy management and automation. It helps homes, businesses, and industries run electricity more efficiently by selling electrical products, automation hardware, software, and related services. Its offerings cover electrification, automation, and digitization, and solutions connect devices, collect data, and control systems to optimize energy use in smart industries, resilient infrastructure, and data centers. The company distinguishes itself with a broad, end-to-end portfolio and a worldwide presence in over 100 countries, combining hardware, software, and services to address sustainability and reliability. Its goal is to help people and organizations use energy more efficiently, reduce environmental impact, and improve uptime and reliability.

Company size
10,001+
Company stage
IPO
Headquarters
Rueil-Malmaison, France
Founded
1836

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