AI / ML Platform Engineer Specialist
INR 2500K-3465K (estimate) Senior-level Full Time
Tasks
- Apply infrastructure-as-code and observability practices
- Build data pipelines for machine learning
- Design and operate ML infrastructure
- Develop and maintain MLOps platform
- Enable AI and ML teams with tooling and best practices
- Ensure scalability, reliability, and compliance
- Evaluate and integrate emerging AI tools
- Implement CI/CD pipelines for ML workflows
- Integrate LLM capabilities into products
Perks/Benefits
- N/A
Skills/Tech-stack
AWS ECS | AWS EKS | AWS Lambda | AWS SageMaker | AWS Step Functions | Amazon S3 | CI/CD | CloudFormation | DevOps | Docker | Faiss | Feature Store | Infrastructure as Code | Kubeflow | Kubernetes | MLOps | MLflow | Model Registry | Model Serving | Observability | Pinecone | Prompt orchestration) | Python | RAG | Step Functions | Terraform | Vector Database | Vertex AI | Weaviate | “as-code”
Education
Roles
AI | AI/ML Platform Engineer | Engineer | ML Platform Engineer | Platform Engineer
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