To apply: Share your resumes on khushboo.a@mitrhr.com, muskan.d@mitrhr.com and rashmita.r@mitrhr.com
📍 Location: Bangalore
💼 Experience: 8–10 Years
About the Role
We are seeking an experienced AI Platform Administrator to oversee and manage the infrastructure, operations, and reliability of enterprise AI systems. The ideal candidate will have a strong background in Databricks Mosaic AI, cloud AI/ML services, and infrastructure-as-code (IaC) tools. This role is crucial to ensure the seamless functioning of AI platforms supporting developers, ML engineers, and data scientists across the organization.
Key Responsibilities
- Administer and maintain AI platforms such as Databricks Mosaic AI, Azure ML, AWS SageMaker, or other commercial AI systems.
- Manage infrastructure provisioning, scaling, and monitoring for production-grade AI workloads.
- Support AI Developers and ML Engineers with environment setup, access configuration, and technical troubleshooting.
- Oversee API gateways, MCP servers, and other integrations that connect AI systems and applications.
- Implement and maintain monitoring, alerting, and incident response processes for AI infrastructure.
- Maintain comprehensive platform documentation, SOPs, and runbooks to ensure consistent and reliable operations.
- Collaborate with DevOps and Security teams to enforce IAM, compliance, and platform security best practices.
- Optimize platform performance and cost efficiency across multi-cloud environments.
Required Skills & Expertise
✅ 8–10 years of experience in Platform Administration, DevOps, or Cloud Infrastructure roles — ideally within AI/ML environments.
✅ Hands-on experience managing Databricks, Azure ML, AWS SageMaker, or GCP Vertex AI.
✅ Strong proficiency in Infrastructure as Code (IaC) using Terraform, Bicep, CloudFormation, or ARM templates.
✅ Deep understanding of cloud platforms (Azure, AWS, GCP) and their AI/ML ecosystems.
✅ Experience with MCP servers, API gateways, and AI service orchestration.
✅ Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring tools (Prometheus, Grafana, Azure Monitor).
✅ Working knowledge of IAM policies, data security, and governance best practices.
✅ Excellent documentation, troubleshooting, and communication skills.
Good to Have
- Exposure to LLM infrastructure, vector databases, or multi-agent frameworks.
- Experience supporting LangChain or Mosaic AI implementations.
- Certification in Azure, AWS, or GCP Cloud Architecture / DevOps.
- Understanding of MLOps and AI lifecycle management tools (MLflow, Kubeflow).
Why Join Us
Join a dynamic and innovation-driven team building next-generation AI infrastructure and platforms that enable scalable, secure, and high-performing enterprise AI solutions. Work at the intersection of cloud, AI, and automation — driving the backbone of intelligent digital transformation.