Hiring: Data Scientist

Employment Type: Full time
Location: Pan India
Work Mode: Hybrid

Job Overview

We are looking for an experienced Data Scientist with strong expertise in Google Cloud Platform (GCP), Python, Machine Learning, MLOps, and Vertex AI. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable machine learning solutions while implementing end-to-end MLOps pipelines on Google Cloud.

Key Responsibilities
Develop, train, evaluate, and optimize Machine Learning models using Python.
Build and deploy production-ready ML solutions on Vertex AI.
Design and implement end-to-end MLOps pipelines for model training, deployment, monitoring, and retraining.
Perform feature engineering, data preprocessing, and model validation.
Deploy and manage ML workloads using Kubernetes and Argo Workflows.
Work with Google Cloud Storage (GCS) and other GCP services for scalable data processing.
Monitor model performance, ensure reliability, and automate ML lifecycle management.
Collaborate with Data Engineers, ML Engineers,



and business stakeholders to deliver AI-driven solutions.
Follow best practices for model versioning, CI/CD, and production deployment.

Required Skills
Solid programming experience in Python
Hands-on experience with Google Cloud Platform (GCP)
Expertise in Machine Learning using Scikit-learn, TensorFlow, or PyTorch
Robust experience with Vertex AI
Hands-on experience in MLOps and ML lifecycle management
Experience with Kubernetes and Argo Workflows
Experience working with Google Cloud Storage (GCS)
Strong knowledge of Feature Engineering, Model Evaluation, and Model Validation
Experience in Production Model Deployment and monitoring
Understanding of CI/CD pipelines for Machine Learning applications

Preferred Skills
Experience with Docker and containerized ML deployments
Knowledge of BigQuery, Cloud Build, or Cloud Composer
Experience with ML model monitoring and observability
Familiarity with Generative AI/LLMs is an added advantage

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