Architect - Machine Learning (Mlops Specialist) (Bengaluru)

Architect - Machine Learning (Mlops Specialist) (Bengaluru)

26 Aug
|
Quantiphi
|
Bengaluru

26 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 strong architecture exposure.
- Solid 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, met

📌 Architect - Machine Learning (Mlops Specialist) (Bengaluru)
🏢 Quantiphi
📍 Bengaluru

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