Architect - Machine Learning (MLOps Specialist)

About the role

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

What you'll do

• Architect and implement the MLOps strategy for the EVOKE Phase-2 programme , ensuring alignment with the project proposal and delivery roadmap
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)
• Implement hybrid MLOps + LLMOps workflows , including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems
• Serve as a technical authority across multiple internal and customer projects, not limited to EVOKE, contributing architectural patterns, best practices

What you need

• 8–14 yrs of experience
• Machine learning
• MLOps
• SQL
• Python
• AWS
• Airflow
• Any graduate

Good to have

• Terraform
• Helm
• Snowflake
• Databricks
• Spark
• CI/CD