Architect - Machine Learning (MLOps Specialist) (Bengaluru)

Architect - Machine Learning (MLOps Specialist) (Bengaluru)

16 Aug
|
Quantiphi
|
Bengaluru

16 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.

* 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 energetic 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,
cod

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

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