13 Aug
|
Quantiphi
|
Bengaluru
13 Aug
Quantiphi
Bengaluru
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 solid 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 including automated training, testing, validation, model promotion, and endpoint deployment.
- Ability to build dynamic and versioned pipelines using SageMaker Pipelines, Step Functions, or Kubeflow.
- Strong SQL and data transformation experience using Snowflake, Databricks, Spark, or EMR.
- Experience with feature engineering pipelines and Feature Store management (SageMaker or Feast).
- Understanding of lineage tracking: training data snapshot, feature versions, code versioning, m
📌 Architect - Machine Learning (MLOps Specialist) (Bengaluru)
🏢 Quantiphi
📍 Bengaluru