We are seeking an AI/ML Ops Engineer to build and manage scalable AI platforms, automate deployment pipelines, and ensure operational excellence across AI/ML workloads. The role combines MLOps, DevOps, and platform engineering expertise.
Responsibilities
- Build and maintain AI/ML deployment platforms.
- Implement CI/CD pipelines for AI applications.
- Deploy, serve, and monitor machine learning and LLM models.
- Manage Kubernetes-based AI infrastructure.
- Establish experiment tracking and model governance processes.
- Enable observability and monitoring across AI systems.
- Optimize AI platforms for scalability, security, and reliability.
Requirements
- Experience with Azure ML, SageMaker, Vertex AI, or Databricks.
- Hands-on expertise with Jenkins, GitHub Actions, ArgoCD, Kubeflow, or MLflow.
- Knowledge of Responsible AI and model governance frameworks.
Qualifications
- Bachelor of Engineering, Bachelor Of Technology (Integrated)
Skills
- Technology->AI-Data science->Machine Learning
- Technology->AI-Generative AI->Artificial Intelligence - Basic
- Technology->AI-Generative AI->Generative AI for Data Analytics
Service Line
Data Analytics Unit
📌 Senior AI Engineers (Hyderabad)
🏢 Infosys
📍 Hyderabad
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