Data and AI Support Engineer

Data and AI support Engineer

Data and AI support Engineer

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The Data and AI Support Engineer you will be responsible for responsible for ensuring the stability, reliability, and optimal performance of data  and Artificial Intelligence (AI)/Machine Learning (ML) solutions. Acting as the  problem-solver for technical issues affecting data pipelines, databases, and deployed AI/ML models, ensuring continuous operation and high user satisfaction.

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 analysis

·        Contribute 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 Deployment

·        Completes 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 troubleshooting

·        Analyzes 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.

Experience Level

Mid Level