Job Description
Data Scientist
Experience:
6–8 years
Role Overview
We are seeking a Data Scientist with a strong engineering background to design, build, train, and operationalize
machine learning models that deliver measurable business impact.
You will work end-to-end across feature engineering, model training, inference, and post-processing, leveraging a
modern, cloud-native ML platform built on GCP and Kubernetes.
This role blends strong statistical and machine learning expertise with hands-on MLOps practices, ensuring
models are reliable, scalable, and production-ready.
Key Responsibilities
Model Development & Data Science
● Develop, train, and validate machine learning models using Python.
● Perform feature engineering, exploratory data analysis, and model evaluation.
● Apply appropriate ML techniques for prediction, classification, or optimization use cases.
ML Workflow Orchestration
● Use Argo Workflows on Kubernetes to orchestrate model inf...
Experience:
6–8 years
Role Overview
We are seeking a Data Scientist with a strong engineering background to design, build, train, and operationalize
machine learning models that deliver measurable business impact.
You will work end-to-end across feature engineering, model training, inference, and post-processing, leveraging a
modern, cloud-native ML platform built on GCP and Kubernetes.
This role blends strong statistical and machine learning expertise with hands-on MLOps practices, ensuring
models are reliable, scalable, and production-ready.
Key Responsibilities
Model Development & Data Science
● Develop, train, and validate machine learning models using Python.
● Perform feature engineering, exploratory data analysis, and model evaluation.
● Apply appropriate ML techniques for prediction, classification, or optimization use cases.
ML Workflow Orchestration
● Use Argo Workflows on Kubernetes to orchestrate model inf...