ata Scientist (Bench candidate only)

Experience: 6-8 Yrs

Budget: 1.5LPM

UAN, BGV and PF history required

Onsite:

• Gurugram, Bengaluru, Pune, Jaipur, New Delhi, Noida, Hyderabad, Chennai, Bhopal, Mumbai / Navi Mumbai

Job Description

Role Overview

We are seeking a Data Scientist with a solid 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 inference and post-processing pipelines.

Design repeatable, automated workflows for ML experiments and production inference.

Model Training & Validation

Leverage Vertex AI to run scalable model training, hyperparameter tuning, and validation.

Ensure reproducibility and consistency across training runs.

Model Runtime & Inference

Build and maintain Python-based runtimes for training, inference, and feature engineering.

Optimize inference pipelines for performance, reliability, and scalability.

Handle and monitor pipelines in production environments..

Participate in Oncall rotation for inference infrastructure.

Model Storage & Lifecycle Management

Handle trained artifacts in Google Cloud Storage (GCS).

Track model metadata, versions, and lineage using Argo or custom model registries.

Support model versioning, rollback, and auditab

📌 Data Scientist (Chennai)
🏢 Testunity
📍 Chennai