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DevOps Engineer - Artificial Intelligence / Machine Learning Solutions
TechrbmMohali3 days ago
Job description8 - 12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI / ML solution design. Strong expertise in Azure AI services : Cognitive Services, Azure ML, Azure OpenAI, Synapse, Hands-on programming in .NET / C# or Python (must-have). Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow). Proficiency in CI / CD, IaC (ARM, Bicep, Terraform), and Kubernetes / AKS. Expertise in Windows Server (primary) and Linux / Unix (secondary) environments. Familiarity with data engineering pipelines and AI integration patterns. Knowledge of Responsible AI, security, compliance, and governance frameworks. Bonus : Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI & Certifications : Bachelors / Masters in Computer Science, IT, or related field. Preferred Certifications : Microsoft Certified : Azure Solutions Architect Expert Microsoft Certified : Azure AI Engineer Associate Microsoft Certified : Azure Data Scientist Associate Kubernetes CKA / CKAD, Terraform Associate
Responsibilities :
- Design and implement scalable AI / ML solutions on Azure, focusing on GenAI and Cognitive Services.
- Develop and manage MLOps pipelines for model training, validation, and deployment.
- Automate infrastructure provisioning and configuration using IaC (ARM, Bicep, Terraform).
- Ensure security, compliance, and governance standards are met in all AI / ML solutions.
- Collaborate with cross-functional teams to integrate AI into various applications.
- Troubleshoot and resolve issues related to AI / ML infrastructure and deployments.
- Stay updated with the latest advancements in AI / ML and cloud technologies.
Qualifications :
Data Lake, Bot Services.
(ref : hirist.tech)
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Artificial Engineer • Mohali