DontApply.Club
Login Register

Technical Support Engineer – Azure AI and IoT

Red Commerce — Poland · Posted ~2 hours ago

Mid Onsite

Skills

Azure AI Azure Machine Learning Cognitive Services Azure IoT Hub Azure IoT Edge Cloud troubleshooting APIs Data pipelines Production incident management Microsoft Azure

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

A technology project is seeking a Technical Support Engineer to support AI, machine learning, cognitive computing, and IoT solutions. The role involves troubleshooting production incidents, analyzing telemetry and logs, supporting cloud deployments, and improving performance, reliability, and cost efficiency.

Highlights

Hands-on role covering AI, machine learning, cloud, and IoT technologies, with broad collaboration across engineering, operations, product, and customer-facing teams.

Description

Technical Support Engineer – Azure AI / Cognitive Services / IoT On behalf of one of our key partners, RED now has a new opportunity for a Technical Support Engineer to join a project focused on Azure AI, Machine Learning, Cognitive Services, and IoT. This role is to start ASAP and will be fully onsite in Krakow. Responsibilities: Provide technical support for Azure AI, ML, Cognitive Services, and IoT solutions.Troubleshoot production incidents, APIs, model deployments, data pipelines, and cloud integrations.Analyze logs, telemetry, alerts, and monitoring data to identify root causes.Work with engineering, product, operations, and customers to resolve issues within SLA.Support Azure deployments and contribute to performance, reliability, and cost optimization.Document solutions, workarounds, and root cause analyses. Requirements: Hands-on experience with Azure AI, Cognitive Services, Azure ML, or related Azure services.Experience with Azure IoT Hub / IoT Edge and cloud-based solutions.Good knowledge of REST APIs, authentication, networking, and cloud technologies.Experience with monitoring, logs, and troubleshooting production environments.Understanding of DevOps, CI/CD, Docker, or Kubernetes.Strong analytical, communication, and customer-facing skills.Previous L2/L3 or technical support experience is a plus.