Expert, AI Engineer

We are seeking an experienced AI Support Expert to oversee the operational support, incident management, and technical maintenance of AI/ML-driven applications built using Python and deployed across AWS and Azure cloud platforms.

The ideal candidate will have deep technical expertise in cloud infrastructure, Python-based application development, AI/ML operations (MLOps), and team leadership.

This role ensures high availability, reliability, and performance of AI systems that support business-critical processes, spanning across company's Internal and External use cases.

Key Responsibilities

Technical Leadership & Team Management


* Lead, mentor, and guide a team of support engineers (L1/L2/L3).


* Foster seamless collaboration 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, ML models, and cloud services.


* Drive continuous improvement initiatives and establish best practices for operational excellence.

Application Support & Troubleshooting


* Manage the full lifecycle of issues for AI use cases, serving both 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.

Monitoring, Incident, and AI-Native Operations


* Champion the usage 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 to root cause analysis and preventive measures.


* Maintain and ensure adherence to SLA commitments.

Required Qualifications

Technical Skills


* 5-10 years of experience supporting production systems, preferably AI/ML or data-intensive applications.


* Hands-on experience managing support across various layers: from underlying processes to specific AI use cases and intelligent agents.


* Strong proficiency in Python, debugging, and API frameworks (FastAPI, Flask, Django).


* Experience with AWS (EC2, Lambda, S3, SageMaker, RDS) and Azure (App Services, Functions, Azure ML, Storage, AKS).


* Experience with AI-native engineering tools and automated agentic evaluation frameworks.


* Experience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and infrastructure-as-code.


* Familiarity with containerization (Docker, Kubernetes) and microservices architecture.

Soft Skills


* Global mindset: Ability to work effectively in a multicultural environment, specifically collaborating with teams in Europe and Asia.


* Excellent problem-so...