Data Scientist - GCP & MLOps

Job Title: Data Scientist

Experience: 6–8 Years

Location: Gurugram , Bengaluru, Pune, Jaipur, New Delhi, Noida, Hyderabad, Chennai, Bhopal, Mumbai

Job Description

We are looking for an experienced Data Scientist with a strong engineering background and hands-on expertise in Python, Machine Learning, GCP, and MLOps. The candidate will be responsible for developing, training, deploying, and managing scalable machine learning models in production environments.

Key Responsibilities

- Develop, train, and validate machine learning models using Python.

- Perform feature engineering, exploratory data analysis (EDA), and model evaluation.

- Build and maintain ML training and inference pipelines.

- Use Argo Workflows on Kubernetes for workflow orchestration.

- Leverage Vertex AI for model training, hyperparameter tuning, and validation.

- Manage trained model artifacts using Google Cloud Storage (GCS).

- Implement model versioning, monitoring, rollback, and lifecycle management.

- Monitor production models, detect model drift, and support retraining strategies.

- Ensure model reliability, scalability, and performance in production environments.

Required Skills

- Strong hands-on experience with Python.

- Experience with Machine Learning frameworks such as PyTorch, Scikit-learn, and CatBoost.

- Strong understanding of Feature Engineering, Model Training, and Evaluation.

- Hands-on experience with Google Cloud Platform (GCP) and Vertex AI.

- Experience with Kubernetes and Argo Workflows.

- Knowledge of GCS and MLOps principles.

- Experience in taking ML models from experimentation to production.

- Understanding of model monitoring, drift detection, and inference pipelines.

Good to Have

- Experience with real-time and batch inference systems.

- Exposure to CI/CD for ML pipelines.

- Knowledge of model monitoring and automated retraining strategies.

Pay: ₹90,000.00 - ₹130,000.00 per month

Experience:

• data scientist: 6 years (Required)

Work Location: On the road