Data Scientist

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).