Architect - Machine Learning (MLOps Specialist)
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About the role
Quantiphi delivers technology services, including cloud-native machine learning and AI solutions. This architect will design and implement production MLOps and LLMOps platforms, pipelines, monitoring, and governance across customer projects.
What you'll do
- Architect MLOps strategy and delivery for the EVOKE Phase-2 programme
- Design ML and LLM pipelines for training, deployment, monitoring, and CI/CD
- Build container-oriented ML platforms, prioritizing EKS
- Implement prompt governance, evaluation frameworks, and LLM monitoring
- Enable drift detection, lineage tracking, observability, and auditability
- Review architectures, troubleshoot systems, and mentor engineers
Skills
Must have
- Machine learning
- MLOPS
- AWS
- Python
- SQL
- Sagemaker
- Kubernetes
- CI/CD
- LLMOPS
- Model lifecycle management
Nice to have
- Vector databases
- RAG
- Multi-agent systems
- Terraform
- Helm
- Infrastructure as code
- Model drift detection
- A/b testing
Who it's for
- Experience
- 7 to 14 years
- Domain
- ai/ml consulting
About Quantiphi
Quantiphi has 19 open roles in Bangalore, at Quantiphi Bengaluru. See every Quantiphi role.
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