AI / MLOps PLATFORM ENGINEER
Posted
HIRING | AI / MLOps PLATFORM ENGINEER
Role: AI / MLOps Platform Engineer
Location: Bangalore, India
Work Mode: Onsite
Working Hours: 8:00 AM – 5:00 PM IST
Experience: 5+ Years
CTC: ₹25–28 LPA
ROLE OVERVIEW
We are looking for an experienced AI / MLOps Platform Engineer to build, operate and support enterprise-grade AI platforms for production and mission-critical workloads.
MUST-HAVE SKILLS
AIOps, MLOps & AI Platform Engineering
Vertex AI / Azure ML / AWS SageMaker
MLflow / Kubeflow / Argo Workflows
CI/CD, Continuous Training & ML lifecycle automation
Terraform / Bicep & Infrastructure as Code
Kubernetes: AKS / GKE / EKS
GitHub Actions, Azure DevOps & GitOps
Agentic AI: LangGraph / CrewAI / AutoGen / Semantic Kernel
Generative AI, LLMOps, RAG & Vector Databases
OpenAI / Azure OpenAI / Gemini / Anthropic / AWS Bedrock
LangChain / LlamaIndex
AI/Model Monitoring, Drift Detection & LLM Evaluation
Hallucination Monitoring & AI Quality Evaluation
NICE TO HAVE
AI FinOps & GPU/LLM Cost Optimization
Multi-Cloud SRE: Azure, AWS & GCP
Prometheus, Grafana, Datadog
SLOs, SLIs, Error Budgets & Self-Healing Automation
KEY RESPONSIBILITIES
• Build scalable, secure and highly available AI platforms
• Automate AI/ML deployment, monitoring and governance
• Enable enterprise GenAI & Agentic AI adoption
• Drive reliability, observability and cloud cost optimization
Skills
- Agentic AI
- AI
- Ai Enablement
- AKS
- Anthropic
- AutoGen
- Automation
- AWS
- AWS Bedrock
- Azure
- Azure DevOps
- Bicep
- CI/CD
- Cloud
- CrewAI
- Datadog
- DevOps
- EKS
- FinOps
- GCP
- Generative AI
- GitHub
- GitHub Actions
- GitOps
- GKE
- GPU
- Grafana
- Infrastructure as Code
- Kubeflow
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- LLM
- LLMOps
- Machine Learning
- MLflow
- MLOps
- Observability
- OpenAI
- Prometheus
- SageMaker
- Semantic Kernel
- SRE
- Terraform
- Vector Databases
- Vertex AI