Job Title:

Data Scientist (3–5 Years Experience)
Location:

Bangalore / Hyderabad
Shift Timings:

4:00 PM – 1:00 AM IST
Work Model:

Hybrid (3 Days Work From Office / 2 Days Work From Home)
Position Overview
We are looking for an experienced Data Scientist with 3 to 5 years of hands-on expertise in building scalable machine learning models and deploying them on Google Cloud Platform (GCP). In this role, you will design, develop, and operationalize end-to-end ML workflows using GCP-native tools like Vertex AI and BigQuery ML, alongside core frameworks like TensorFlow and PyTorch. You will collaborate closely with cross-functional teams to translate business requirements into production-ready AI solutions.
Key Responsibilities
Model Development:

Design, build, train, and evaluate predictive models and machine learning algorithms using Python, TensorFlow, and PyTorch.
Data Engineering & Querying:

Extract, transform, and analyze large datasets using Advanced SQL and BigQuery / BigQuery ML.
GCP Architecture:

Leverage Google Cloud Platform services (Vertex AI, Cloud Functions, BigQuery) to build production-grade ML pipelines.
MLOps & Automation:

Build and maintain automated end-to-end ML pipelines using Kubeflow and Vertex AI for continuous integration, training, deployment, and monitoring (CI/CD/CT).
Serverless Workflows:





Write and deploy serverless code using Cloud Functions to trigger ML pipelines and handle event-driven data processing.
Cross-Functional Collaboration:

Partner with data engineers, software developers, and business stakeholders to integrate ML solutions into existing applications.

Required Skills & Qualifications
Experience:

3–5 years of relevant experience as a Data Scientist or Machine Learning Engineer.
Core Programming:

Advanced proficiency in Python and deep knowledge of data manipulation libraries (Pandas, NumPy, Scikit-learn).
Database & SQL:

Solid expertise in Advanced SQL (complex joins, window functions, query optimization) and experience working with BigQuery / BigQuery ML.
Cloud Platform:

Proven hands-on experience with Google Cloud Platform (GCP), specifically Vertex AI and Cloud Functions.
ML Frameworks:

In-depth experience with TensorFlow and/or PyTorch.
MLOps & Pipeline Tools:

Practical experience using Kubeflow to orchestrate machine learning workflows and manage model lifecycles in production.
Problem-Solving:

Strong analytical and algorithmic skills with a track record of deploying robust ML models into live environments.
Work Environment & Logistics
Shift Schedule: US overlap coverage requiring shift timings from 4:00 PM to 1:00 AM IST.
Office Location: Flexible hybrid presence required out of either Bangalore or Hyderabad offices (3 days WFO / 2 days WFH).

📌 Data Scientist (Mumbai)
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