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Job Type

Full Time

Job Description

AI Engineer (Mid / Senior level)

• Design, build, and optimize AI/ML models and algorithms tailored to business needs.

• Develop and implement LLM-based solutions, including custom training and fine-tuning.

• Integrate AI models into existing or new applications.

• Work with Azure OpenAI Service to deploy and manage AI workloads.

• Collaborate with cross-functional teams (Data Engineers, DevOps, Product) to scale AI initiatives.

• Maintain documentation, evaluate model performance, and iterate on improvements.

• Experience with Azure Open AI.



Cloud Ops Engineer (Part-time / Project basic )

• Design and implement end-to-end integration between Azure and Datadog, including:

o Metrics and log collection (Azure Monitor, Activity Logs, Diagnostic Settings).

o Distributed tracing and custom dashboards.

o Alerting rules and incident response workflows.

• Build and maintain an integrated cloud support system:

o Automated monitoring and alerting pipelines.

o Incident triage and escalation playbooks.

o Ticketing system and notification integration (e.g., PagerDuty, ServiceNow, Slack).

• Ensure operational readiness through runbooks, dashboards, and SLA reporting.

• Collaborate with development and infrastructure teams to identify observability gaps and improve monitoring coverage.

• Maintain Infrastructure-as-Code (IaC) templates (ARM, Bicep, or Terraform) for repeatable deployment of monitoring and support tooling.



Requirements

• Strong experience with Microsoft Azure (App Services, AKS, Functions, Monitor, Log Analytics).

• Hands-on experience integrating Datadog with Azure using APIs, agents, and Azure-native connectors.

• Experience in building support or operations tools/systems (e.g., alert routing, self-healing scripts).

• Solid scripting skills (e.g., PowerShell, Python, or Bash).

• Familiarity with CI/CD, containerization (Docker/Kubernetes), and DevOps practices.

• Experience with infrastructure automation using Terraform, Bicep, or ARM templates.

• Strong troubleshooting, problem-solving, and incident management skills

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