Job Description
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: Strong 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).