Job Description: Data Scientist

Experience: 6–8 Years
Location: Gurugram, Bengaluru, Pune, Jaipur, New Delhi, Noida, Hyderabad, Chennai, Bhopal, Mumbai
Mandatory: UAN Number and LinkedIn Profile

Job Overview

We are looking for an experienced Data Scientist with a strong engineering background to develop, train, deploy, and maintain machine learning models in production environments. The ideal candidate should have hands-on expertise in Python, machine learning frameworks, GCP, Kubernetes, and MLOps practices.

Key Responsibilities

- Develop, train, and validate machine learning models using Python.
- Perform exploratory data analysis, feature engineering, and model evaluation.
- Apply machine learning techniques for prediction, classification, and optimization.
- Orchestrate ML inference and post-processing pipelines using Argo Workflows on Kubernetes.
- Use Vertex AI for scalable model training, hyperparameter tuning, and validation.
- Build and maintain Python-based training, inference, and feature engineering runtimes.
- Optimize production inference pipelines for performance, reliability, and scalability.
- Manage trained model artifacts in Google Cloud Storage (GCS).
- Maintain model versioning, metadata, lineage, rollback, and auditability.
- Implement model monitoring, drift detection, and retraining strategies.




- Follow best practices for documentation, testing, and responsible AI.
- Participate in on-call rotations for inference infrastructure.

Required Skills

- Solid hands-on experience in Python for data science and machine learning.
- Experience with ML frameworks such as PyTorch, scikit-learn, and CatBoost.
- Familiarity with Kubernetes and Argo Workflows.
- Experience with Google Cloud Platform (GCP) and Vertex AI.
- Knowledge of feature engineering, model evaluation, and validation techniques.
- Experience deploying machine learning models into production.
- Understanding of MLOps principles and ML lifecycle management.
- Strong analytical, problem-solving, and communication skills.

Preferred Skills

- Experience with real-time and batch inference systems.
- Exposure to CI/CD for machine learning pipelines.
- Knowledge of model monitoring, data/model drift detection, and automated retraining.

Candidate Requirements

- 6–8 years of relevant experience in Data Science and Machine Learning.
- Strong engineering and production ML deployment experience.
- Updated LinkedIn profile.
- Valid UAN number.

Interested candidates can share their updated resume along with their LinkedIn profile and UAN details.

Pay: ₹120,000.00 - ₹130,000.00 per month

Work Location: In person

📌 Data Scientist (Chennai)
🏢 egrove systems pvt.ltd
📍 Chennai