Data and AI Support Engineer ensuring stability and performance of AI/ML solutions at Michelin. Problem-solving technical issues affecting data pipelines and models while collaborating with users.
Responsibilities
Ensure the stability, reliability, and optimal performance of data and AI/ML solutions.
Act as the problem-solver for technical issues affecting data pipelines, databases, and deployed AI/ML models.
Communicate complex technical concepts to both technical and non-technical audiences.
Conduct feasibility studies, functional design, and solution validation.
Analyze and understand the origin of complex malfunctions, incidents or bugs.
Provide proactive technical assistance to users and avoid root causes of problems.
Build data collection infrastructure (IoT, sensors, database, files).
Document the implemented solutions.
Requirements
Experience with Azure services like AKS clusters, App Services, Storage Accounts, Virtual Networks, Azure Active Directory, and Azure Monitor.
Familiarity with command-line interfaces (CLI) and scripting (PowerShell, Bash).
Good hands-on experience on Python.
Proven experience with the Azure Python SDK and integrating Azure services - Storage, Key Vault, Logic App, Cosmos DB into software applications.
Good Experience on supporting Python Based Web applications.
Knowledge of LLM, Vector DB and RAG architecture will be a plus
Basic understanding of networking concepts (TCP/IP, DNS, firewalls).
Knowledge on supporting Data applications - ADB, ADF, Databricks, PySpark will be a huge plus.
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