Architect - Machine Learning (MLOps Specialist)

Market insights

Stack

Free. Sign in with email.

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

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! Role : Architect - Machine Learning Experience: 7-14 Years Location: Mumbai/Bangalore Must have skills & Qualifications 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure. Strong expertise in AWS cloud-native ML stack , including: EKS (primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent) Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon Deep understanding of model lifecycle management (training → registry → deployment → monitoring). Experience implementing or supporting LLMOps pipelines , including: prompt versioning, evaluation metrics, automation frameworks Deep understanding of ML lifecycle : data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance. Strong experience with AWS SageMaker (Training, Processing, Batch Transform, Pipelines, Feature Store, Model Registry, Model Monitor). Experience implementing ML CI/CD pipelines in

Full description, company and the link to apply — after you sign in. Sign in

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.