Job Description

Data and AI support Engineer
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Technical Expertise:Understanding of cloud computing concepts, specifically Microsoft Azure. Experience with Azure services like AKS clusters, App Services, Storage Accounts, Virtual Networks, Azure Active Directory, and Azure Monitor. Ability to support API based applications hosted on Azure. Familiarity with command-line interfaces (CLI) and scripting (PowerShell, Bash). Good handson experience on Python. Experience with monitoring tools and performance analysis. 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). Ability to troubleshoot software applications and their dependencies. Knowledge on supporting Data applications - ADB, ADF , Databricks, PySpark will be a huge plus. Knowledge on SQL is must. Understanding of PowerBI reports will be a plus.

Communication and Collaboration:Effectively communicate complex technical concepts to both technical and non-technical audiences. Excellent problem-solving and analytical skills. Strong customer service orientation and empathy. Ability to work independently and as part of a team.

Design and impact analysisContribute to define feasibility (technical options...), functional design and solution validation. Performs impact analysis related to data captation (system performance in production, security, etc.) Identifies the source of physical data Enforces security and confidentiality rules for data on its perimeter

Implementation and DeploymentCompletes and executes data collection procedures Builds data collection infrastructure (IoT: Internet of Things, sensors, database, files, etc.) Deploys data collection infrastructure and procedures Measures the impact on the technical chain implemented (from the connected object to the storage system) Completes the necessary tests to validate the solution Documents the implemented solutions

Support and troubleshootingAnalyzes and understands the origin of a complex malfunction, incident or bug. Adopts a proactive approach to avoid or identify root causes of problems. * Provides technical assistance to users.